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GeezerVison is showing resources.wolframcloud.com — Wolfram Neural Net Repository of Neural Network Models

Wolfram Neural Net Repository

Featured Resources

  • LeNet Trained on MNIST Data
  • AdaIN-Style Trained on MS-COCO and Painter by Numbers Data
  • GloVe 300-Dimensional Word Vectors Trained on Wikipedia and Gigaword-5 Data
  • Inception V1 Trained on ImageNet Competition Data
  • VGG-19-Trained-on-ImageNet-Competition-Data

The Wolfram Neural Net Repository is a public resource that hosts an expanding collection of trained and untrained neural network models, suitable for immediate evaluation, training, visualization, transfer learning and more.

Building on the Wolfram Language neural net framework, the Wolfram Neural Net Repository provides a uniform system for storing neural net models in an immediately computable form. Including models from the latest research papers, as well as ones trained or created at Wolfram Research, the Wolfram Neural Net Repository is built to be a global resource for neural net models.

  • CREPE Pitch Detection Net Trained on Monophonic Signal Data
    Track the pitch of a monophonic signal
  • Whisper-V1 Multilingual Nets
    Translate multiple-language audio recordings to English
  • Whisper-V1 Multilingual Turbo
    Transcribe multiple-language audio recordings
  • Whisper-V1 Nets
    Transcribe an English audio recording
  • Wolfram AudioIdentify V1 Trained on AudioSet Data
    Identify sounds in an audio signal
  • 3D-Inflated ResNet-50 Trained on Kinetics 400 Data
    Identify the main action in a video
  • Ademxapp Model A Trained on ImageNet Competition Data
    Identify the main object in an image
  • Age Estimation VGG-16 Trained on IMDB-WIKI and Looking at People Data
    Predict a person's age from an image of their face
  • Age Estimation VGG-16 Trained on IMDB-WIKI Data
    Predict a person's age from an image of their face
  • CapsNet Trained on MNIST Data
    Identify the handwritten digit in an image
  • Channel-Separated Video Action Classification Net Trained on Kinetics-400 Data
    Identify the main action in a video
  • DenseNet-121 Trained on ImageNet Competition Data
    Identify the main object in an image
  • EfficientNet Trained on ImageNet
    Identify the main object in an image
  • EfficientNet Trained on ImageNet with AdvProp and AutoAugment
    Identify the main object in an image
  • EfficientNet Trained on ImageNet with AutoAugment
    Identify the main object in an image
  • EfficientNet Trained on ImageNet with NoisyStudent
    Identify the main object in an image
  • EfficientNet Trained on ImageNet with RandAugment
    Identify the main object in an image
  • EfficientNet-V2 Trained on ImageNet-21K
    Identify the main object in an image
  • EfficientNet-V2 Trained on ImageNet Competition Data
    Identify the main object in an image
  • Gender Prediction VGG-16 Trained on IMDB-WIKI Data
    Predict a person's gender from an image of their face
  • Inception V1 Trained on Extended Salient Object Subitizing Data
    Count the number of prominent items in an image
  • Inception V1 Trained on ImageNet Competition Data
    Identify the main object in an image
  • Inception V1 Trained on Places365 Data
    Identify the scene type of an image
  • Inception V3 Trained on ImageNet Competition Data
    Identify the main object in an image
  • LeNet Trained on MNIST Data
    Identify the handwritten digit in an image
  • MobileNet-3D V1 Trained on Video Datasets
    Identify the action in a video
  • MobileNet-3D V2 Trained on Video Datasets
    Identify the main action in a video
  • MobileNet V1 Trained on ImageNet Competition Data
    Identify the main object in an image
  • MobileNet V2 Trained on ImageNet Competition Data
    Identify the main object in an image
  • MobileNet V3 Trained on ImageNet Competition Data
    Identify the main object in an image
  • Optic-Net Classifier for Retinal Diseases
    Diagnose retinal diseases from optical tomography images
  • ResNet-101 Trained on ImageNet Competition Data
    Identify the main object in an image
  • ResNet-101 Trained on YFCC100m Geotagged Data
    Determine the geolocation of a photograph
  • ResNet-152 Trained on ImageNet Competition Data
    Identify the main object in an image
  • ResNet-50 Trained on ImageNet Competition Data
    Identify the main object in an image
  • Self-Normalizing Net for Numeric Data
    Perform classification or regression on numeric data
  • ShuffleNet-3D V1 Trained on Video Datasets
    Identify the main action in a video
  • ShuffleNet-3D V2 Trained on Video Datasets
    Identify the main action in a video
  • ShuffleNet-V1 Trained on ImageNet Competition Data
    Identify the main object in an image
  • ShuffleNet-V2 Trained on ImageNet Competition Data
    Identify the main object in an image
  • SlowFast Video Action Classification Trained on Kinetics-400 Data
    Identify the main action in a video
  • Spatiotemporal ResNet-18 for Action Recognition Trained on Kinetics-400 Data
    Identify the main action in a video
  • Squeeze-and-Excitation Net Trained on ImageNet Competition Data
    Identify the main object in an image
  • SqueezeNet-3D Trained on Video Datasets
    Identify the main action in a video
  • SqueezeNet V1.1 Trained on ImageNet Competition Data
    Identify the main object in an image
  • VGG-16 Trained on ImageNet Competition Data
    Identify the main object in an image
  • VGG-19 Trained on ImageNet Competition Data
    Identify the main object in an image
  • Vision Transformer Trained on ImageNet Competition Data
    Identify the main object in an image
  • Wide ResNet-50-2 Trained on ImageNet Competition Data
    Identify the main object in an image
  • Wolfram AudioIdentify V1 Trained on AudioSet Data
    Identify sounds in an audio signal
  • Wolfram ImageIdentify Net V1
    Identify the main object in an image
  • Wolfram ImageIdentify Net V2
    Identify the main object in an image
  • X3D Video Action Classification Trained on Kinetics-400 Data
    Identify the main action in a video
  • Yahoo Open NSFW Model V1
    Determine whether an image contains pornographic content
  • YOLO V8 Classify Trained on ImageNet Competition Data
    Identify the main object in an image
  • Sketch-RNN Trained on QuickDraw Data
    Generate hand-drawn sketches
  • Stable Diffusion V1
    Generate photorealistic images
  • FastDVDNet Trained on DAVIS Data
    Remove noise from a video
  • BERT Trained on BookCorpus and Wikipedia Data
    Represent text as a sequence of vectors
  • BioBERT Trained on PubMed and PMC Data
    Represent text as a sequence of vectors
  • BLIP Image Captioning Nets Trained on MS-COCO Data
    Generate a textual description of an image
  • BLIP Image-Text Matching Nets Trained on Captioning Datasets
    Find the similarity score between a text and an image
  • BLIP Visual Question Answering Nets Trained on VQA Data
    Generate an answer to a question given an image
  • BPEmb Subword Embeddings Trained on Wikipedia Data
    Represent words or subwords as vectors
  • Clinical Concept Embeddings Trained on Health Insurance Claims, Clinical Narratives from Stanford and PubMed Journal Articles
    Represent a clinical concept as a vector
  • CLIP Multi-domain Feature Extractor
    Represent words and images as vectors
  • CoCa Image Captioning Nets Trained on LAION-2B Data
    Represent words and images as vectors
  • ConceptNet Numberbatch Word Vectors V17.06
    Represent words as vectors
  • D2-Net Trained on MegaDepth Data
    Find generic keypoints and their feature vectors in an image
  • DistilBERT Trained on BookCorpus and English Wikipedia Data
    Represent text as a sequence of vectors
  • ELMo Contextual Word Representations Trained on 1B Word Benchmark
    Represent words as contextual word-embedding vectors
  • ESMFold-V1 Trained on UR50 Data
    Predict protein's 3D structure from amino acid sequences
  • GloVe 100-Dimensional Word Vectors Trained on Tweets
    Represent words as vectors
  • GloVe 100-Dimensional Word Vectors Trained on Wikipedia and Gigaword 5 Data
    Represent words as vectors
  • GloVe 200-Dimensional Word Vectors Trained on Tweets
    Represent words as vectors
  • GloVe 25-Dimensional Word Vectors Trained on Tweets
    Represent words as vectors
  • GloVe 300-Dimensional Word Vectors Trained on Common Crawl 42B
    Represent words as vectors
  • GloVe 300-Dimensional Word Vectors Trained on Common Crawl 840B
    Represent words as vectors
  • GloVe 300-Dimensional Word Vectors Trained on Wikipedia and Gigaword 5 Data
    Represent words as vectors
  • GloVe 50-Dimensional Word Vectors Trained on Tweets
    Represent words as vectors
  • GloVe 50-Dimensional Word Vectors Trained on Wikipedia and Gigaword 5 Data
    Represent words as vectors
  • GPT2 Transformer Trained on WebText Data
    Generate text in English and represent text as a sequence of vectors
  • GPT Transformer Trained on BookCorpus Data
    Generate text in English and represent text as a sequence of vectors
  • MiniLM V2 Text Feature Extractor
    Represent text as a sequence of vectors
  • NuNER-V2 Text Feature Extractor
    Represent text as a sequence of vectors
  • NuTopic Text Feature Extractor
    Represent text as a sequence of vectors
  • NuToxicity Text Feature Extractor
    Represent text as a sequence of vectors
  • OpenCLIP Multi-domain Feature Extractor Trained on DataComp-1B Data
    Represent words and images as vectors
  • OpenCLIP Multi-domain Feature Extractor Trained on LAION-2B Data
    Represent words and images as vectors
  • OpenFace Face Recognition Net Trained on CASIA-WebFace and FaceScrub Data
    Represent a facial image as a vector
  • Pose-Aware Face Recognition in the Wild Nets Trained on CASIA WebFace Data
    Represent a facial image as a vector
  • Pre-trained Distilled BERT Trained on BookCorpus and English Wikipedia Data
    Represent text as a sequence of vectors
  • ResNet-101 for 3D Morphable Model Regression Trained on Casia WebFace Data
    Represent a facial image as a vector
  • ResNet-101 Trained on Augmented CASIA-WebFace Data
    Represent a facial image as a vector
  • RoBERTa Trained on BookCorpus, English Wikipedia, CC-News, OpenWebText and Stories Datasets
    Represent text as a sequence of vectors
  • SciBERT Trained on Semantic Scholar Data
    Represent text as a sequence of vectors
  • VGGish Feature Extractor Trained on YouTube Data
    Represent sounds as a sequence of vectors
  • AdaIN-Style Trained on MS-COCO and Painter by Numbers Data
    Transfer the style of one image to another image
  • CoCa Image Captioning Nets Trained on LAION-2B Data
    Represent words and images as vectors
  • Colorful Image Colorization Trained on ImageNet Competition Data
    Colorize a grayscale image
  • ColorNet Image Colorization Trained on ImageNet Competition Data
    Colorize a grayscale image
  • ColorNet Image Colorization Trained on Places Data
    Colorize a grayscale image
  • CycleGAN Apple-to-Orange Translation Trained on ImageNet Competition Data
    Turn apples into oranges in a photo
  • CycleGAN Horse-to-Zebra Translation Trained on ImageNet Competition Data
    Turn horses into zebras in a photo
  • CycleGAN Monet-to-Photo Translation
    Turn a Monet-style painting into a photo
  • CycleGAN Orange-to-Apple Translation Trained on ImageNet Competition Data
    Turn oranges into apples in a photo
  • CycleGAN Photo-to-Cezanne Translation
    Turn a photo into a Cezanne-style painting
  • CycleGAN Photo-to-Monet Translation
    Turn a photo into a Monet-style painting
  • CycleGAN Photo-to-Van Gogh Translation
    Turn a photo into a Van Gogh-style painting
  • CycleGAN Summer-to-Winter Translation
    Turn a summertime photo into a wintertime photo
  • CycleGAN Winter-to-Summer Translation
    Turn a wintertime photo into a summertime photo
  • CycleGAN Zebra-to-Horse Translation Trained on ImageNet Competition Data
    Turn zebras into horses in a photo
  • Enhanced Super-Resolution GAN Trained on DIV2K, Flickr2K and OST Data
    Increase the resoution of an image
  • Pix2pix Photo-to-Street-Map Translation
    Generate a street map from a satellite photo
  • Pix2pix Street-Map-to-Photo Translation
    Generate a satellite photo from a street map
  • StarGAN Trained on CelebA Data
    Translate an image from one domain to another
  • U2-Net Portrait Generator Trained on APDrawing Data
    Generate a portrait sketch from a photo
  • Very Deep Net for Super-Resolution
    Increase the resolution of an image
  • Google-T5 Multitask Language Model
    Perform a wide array of text-to-text tasks
  • GPT2 Transformer Trained on WebText Data
    Generate text in English and represent text as a sequence of vectors
  • GPT Transformer Trained on BookCorpus Data
    Generate text in English and represent text as a sequence of vectors
  • Sentiment Language Model Trained on Amazon Product Review Data
    Generate text in English and analyze sentiment
  • Wolfram C Character-Level Language Model V1
    Generate C code
  • Wolfram English Character-Level Language Model V1
    Generate text in English
  • Wolfram JavaScript Character-Level Language Model V1
    Generate JavaScript code
  • Wolfram LaTeX Character-Level Language Model V1
    Generate LaTeX code
  • Wolfram Python Character-Level Language Model V1
    Generate Python code
  • CenterNet Pose Estimation Nets Trained on MS-COCO Data
    Detect and localize human joints and objects in an image
  • CenterNet Trained on MS-COCO Data
    Detect and localize objects in an image
  • DBNet Text Detector Trained on ICDAR-2015 and Total-Text Data
    Detect and localize text in an image
  • EfficientDet Trained on MS-COCO Data
    Detect and localize objects in an image
  • PANet Text Detector Trained on ICDAR-2015 and CTW1500 Data
    Detect and localize text in an image
  • PSENet Text Detector Trained on ICDAR-2015 and CTW1500 Data
    Detect and localize text in an image
  • RetinaNet-101 Feature Pyramid Net Trained on MS-COCO Data
    Detect and localize objects in an image
  • Scaled-YOLO V4 Trained on MS-COCO Data
    Detect and localize objects in an image
  • SSD Feature Pyramid Nets Trained on MS-COCO Data
    Detect and localize objects in an image
  • SSD-MobileNet V2 Trained on MS-COCO Data NEW
    Detect and localize objects in an image
  • SSD-VGG-300 Trained on PASCAL VOC Data
    Detect and localize objects in an image
  • SSD-VGG-512 Trained on MS-COCO Data
    Detect and localize objects in an image
  • SSD-VGG-512 Trained on PASCAL VOC2007, PASCAL VOC2012 and MS-COCO Data
    Detect and localize objects in an image
  • YOLOR Trained on MS-COCO Data
    Detect and localize objects in an image
  • YOLO V2 Trained on MS-COCO Data
    Detect and localize objects in an image
  • YOLO V3 Trained on Open Images Data
    Detect and localize objects in an image
  • YOLO V5 Trained on MS-COCO Data
    Detect and localize objects in an image
  • YOLO V8 Detect Trained on MS-COCO Data
    Detect and localize objects in an image
  • YOLO V8 Pose Trained on MS-COCO Data
    Detect and localize human joints in an image
  • YOLOX Trained on MS-COCO Data
    Detect and localize objects in an image
  • BLIP Visual Question Answering Nets Trained on VQA Data
    Generate an answer to a question given an image
  • Google-T5 Multitask Language Model
    Perform a wide array of text-to-text tasks
  • 2D Face Alignment Net Trained on 300W Large Pose Data
    Determine the locations of keypoints from a facial image
  • 3D Face Alignment Net Trained on 300W Large Pose Data
    Determine the 2D projection of 3D keypoints from a facial image
  • CenterNet Pose Estimation Nets Trained on MS-COCO Data
    Detect and localize human joints and objects in an image
  • CenterNet Trained on MS-COCO Data
    Detect and localize objects in an image
  • D2-Net Trained on MegaDepth Data
    Find generic keypoints and their feature vectors in an image
  • ESMFold-V1 Trained on UR50 Data
    Predict protein's 3D structure from amino acid sequences
  • Micro Aerial Vehicle Trail Navigation Nets Trained on IDSIA Swiss Alps and PASCAL VOC Data
    Navigate a drone in a forest environment
  • MiDaS V2.1 Depth Perception Nets Trained on Multiple-Datasets
    Estimate the depth map of an image
  • MiniLM V2 Reranker Trained on MS MARCO Data
    Compute a relevance score for a query-passage pair
  • Self-Normalizing Net for Numeric Data
    Perform classification or regression on numeric data
  • Single-Image Depth Perception Net Trained on Depth in the Wild Data
    Estimate the depth map of an image
  • Single-Image Depth Perception Net Trained on NYU Depth V2 and Depth in the Wild Data
    Estimate the depth map of an image
  • Single-Image Depth Perception Net Trained on NYU Depth V2 Data
    Estimate the depth map of an image
  • Unguided Volumetric Regression Net for 3D Face Reconstruction
    Reconstruct a 3D facial image from a 2D facial image
  • Vanilla CNN for Facial Landmark Regression
    Determine the locations of the eyes, nose and mouth from a facial image
  • Ademxapp Model A1 Trained on ADE20K Data
    Segment an image into various semantic component classes
  • Ademxapp Model A1 Trained on Cityscapes Data
    Segment an image of a driving scenario into semantic component classes
  • Ademxapp Model A1 Trained on PASCAL VOC2012 and MS-COCO Data
    Segment an image into various semantic component classes
  • Dilated ResNet-105 Trained on Cityscapes Data
    Segment an image of a driving scenario into semantic component classes
  • Dilated ResNet-22 Trained on Cityscapes Data
    Segment an image of a driving scenario into semantic component classes
  • Dilated ResNet-38 Trained on Cityscapes Data
    Segment an image of a driving scenario into semantic component classes
  • DoubleU-Net Trained on Medical Image Segmentation Datasets
    Segment medical images performing a task-dependent binary classification
  • FastSAM Trained on MS-COCO Data
    Detect, segment and localize objects in an image
  • ForkNet Brain Segmentation Net Trained on NAMIC Data
    Segment an image of a human brain into different anatomical structures
  • Multi-scale Context Aggregation Net Trained on CamVid Data
    Segment an image of a driving scenario into semantic component classes
  • Multi-scale Context Aggregation Net Trained on Cityscapes Data
    Segment an image of a driving scenario into semantic component classes
  • Multi-scale Context Aggregation Net Trained on PASCAL VOC2012 Data
    Segment an image into various semantic component classes
  • U2-Net Trained on DUTS-TR Data
    Segment objects in an image
  • U-Net Trained on Glioblastoma-Astrocytoma U373 Cells on a Polyacrylamide Substrate Data
    Segment a microscopy image to detect cells
  • YOLO V8 Segment Trained on MS-COCO Data
    Detect, segment and localize objects in an image
  • Deep Speech 2 Trained on Baidu English Data
    Transcribe an English-language audio recording
  • Wav2Vec2 Trained on LibriSpeech Data
    Transcribe an English audio recording
  • Wav2Vec2 Trained on Multiple Datasets
    Transcribe an English audio recording
  • Wav2Vec2 XLSR-53 Trained on Multilingual Data
    Transcribe multiple-language audio recordings
  • Google-T5 Multitask Language Model
    Perform a wide array of text-to-text tasks
  • M2M-100 Multilingual Translation Net
    Translate text between any pair of one hundred languages
  • Whisper-V1 Multilingual Nets
    Translate multiple-language audio recordings to English
  • Whisper-V1 Multilingual Turbo
    Transcribe multiple-language audio recordings
  • Whisper-V1 Nets
    Transcribe an English audio recording
  • BLIP Image Captioning Nets Trained on MS-COCO Data
    Generate a textual description of an image
  • CoCa Image Captioning Nets Trained on LAION-2B Data
    Represent words and images as vectors

All resources »

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