A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
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Updated
Nov 12, 2026 - C++
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A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
python machine-learning deep-learning neural-network mxnet gpu image-processing pytorch gpu-tensorflow data-processing data-augmentation audio-processing paddle image-augmentation fast-data-pipeline
DockerFile with GPU support for TensorFlow and OpenCV
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
neural-network tensorflow gpu word2vec word-embeddings gpu-acceleration gpu-tensorflow cosine-similarity glove glove-embeddings tensorflow-layers
Korean OCR Model Design(한글 OCR 모델 설계)
training ocr recognition deep-learning keras cnn dataset korean convolutional-neural-networks gpu-tensorflow activate activation-functions integer-encoding one-hot-encoding
Deep Neural Networks for Call Of Duty Modern Warfare 2019
training machine-learning bots neural-network cod tensorflow overlay intent gpu-tensorflow callofduty confidence modernwarfare enemydetection detecting-gamertags uers-screen
An AI chatbot built using SEQ2SEQ Model
tensorflow numpy chatbot python3 recurrent-neural-networks artificial-intelligence lstm seq2seq gpu-tensorflow rnn-model colab-notebook
This project contains a set of scripts to facilitate the setup of the Jetson Nano for doing Deep Learning with Tensorflow 2.0 (and also with Coral TPU Edge)
Attempt to clone SyntaxNet using only Python, with GPU support
Proof of Concept for porting MRST to PyTorch
machine-learning matlab python3 octave scientific-computing gpu-tensorflow jacobians pde-solver reservoir-simulation partial-differential-equation gpu-pytorch
A Vagrantfile to provision a gpu instance installed tensorflow-gpu on EC2
Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
deep-learning tensorflow jupyter-notebook google-cloud tensorboard resnet tensorflow-tutorials tensorflow-experiments gpu-tensorflow tensorflow-models keras-tensorflow fine-tuning-cnns tensorflow-examples tensorflow-gpu tpu colab-notebook tpu-benchmarks tpu-acceleration keras-gpu next-generation-machine-learning
Deep Learning Face Detection and Verification
opencv deep-learning gpu logistic-regression gpu-tensorflow confusion-matrix svm-classifier ensemble-classifier knn-classifier accuracy-metrics
Training LSTMs on GPUs simplified with Keras, Docker and Azure
A python module for running code on cloud GPUs
This repository contains the implementation of Tensorflow Keras on detecting various diseases on corn leaves, while comparing the performance of the classification using GPU and CPU.
This project develops forecasting models for monitoring forest health, focusing on Larch Casebearer damage using Yolov8 models, with a focus on evaluating the environmental impact of the training process
Use Fully Convolutional Nets to identify segments of image as drivable road
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