Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
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Aug 2, 2024 - Python
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Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
table-tennis pytorch segmentation event-detection sport-analytics multi-task-learning tabletennis dice-loss ttnet distributed-data-parallel spatial-video-analysis event-spotting
Distributed training (multi-node) of a Transformer model
machine-learning tutorial deep-learning pytorch data-parallelism model-parallelism distributed-training gradient-accumulation distributed-data-parallel collective-communication
Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
Helmet Detector based on the CenterNet.
pytorch object-detection pytorch-implementation helmet-detection centernet automatic-mixed-precision distributed-data-parallel
A simple API to launch Python functions to run on multiple ranked processes, mpify is designed to enable interactive multiprocessing experiments in Jupyter/IPython, such as distributed data parallel training over multiple GPUs.
Unofficial implementation for Sigmoid Loss for Language Image Pre-Training
python3 pytorch unsupervised-learning vision-and-language multimodal-deep-learning self-supervised-learning vision-language contrastive-learning distributed-data-parallel vision-transformer vision-language-pretraining
Different template codes for Deep Learning with PyTorch.
deep-learning pytorch vgg imagenet tensorboard resnet alexnet cifar-10 cnn-classification pytorch-lightning distributed-data-parallel
Repository of Computer Vision projects based on CNNs, Vision Transformers, and YOLO11, implemented with TensorFlow, PyTorch, Hugging Face, and Ultralytics.
python opencv computer-vision tensorflow cnn pytorch image-classification object-detection image-segmentation multi-gpu pose-estimation tpu xla distributed-data-parallel vision-transformer hugging-face ultralytics yolo11
Final project of the course "Large Scale AI Engineering" at ETH Zürich, FS2025. Implementation and benchmarking of pretokenization and Distributed Data Parallel (DDP) for efficient LLM training on the CSCS Alps supercomputer.
transformers tokenization hpc-cluster distributed-data-parallel cscs llm pretokenization padding-free
[CVPR 2016]You Only Look Once: Unified, Real-Time Object Detection
python pytorch apex yolo imagenet nvidia-docker pascal-voc yolov1 mixed-precision nvidia-apex distributed-data-parallel yolov1-loss
demo for pytorch-distributed
amp pytorch distributed mixed-precision-training distributed-data-parallel distributeddataparallel hybrid-precision-training
A Tiny Version of the Original ultralytics/yolov5
python opencv pytorch yolo mosaic onnx yolov3 mixed-precision-training yolov5 distributed-data-parallel
python opencv tensorflow plotly cnn pandas pytorch human-pose-estimation multi-gpu pose-estimation hand-pose-estimation tpu xla animal-pose-estimation distributed-data-parallel convnext yolo11 face-landmark-estimation
This is a simulator for access strategies for distributed caching. The simulator considers a user who is equipped by several caches, and receives from them periodical updates about the cached content. The problem and algorithms implemented here are detailed in the paper: I. Cohen, G. Einziger, R. Friedman, and G. Scalosub, “Access Strategies for…
PyTorch DDP and multi-GPU LLM training — from a minimal distributed example to NanoGPT speedruns, Muon, H100 profiling, and modded-nanogpt. FBA LAB https://bubblnet.com
training gpu modal pytorch ddp pytorch-tutorial gpt-2 distributed-data-parallel marin nanogpt llm-training h100 qwen deepseek olmo llm-systems muon-optimizer modded-nanogpt
Smoke Classification Using Transfer Learning ang GenAI with Distributed Multi-GPU Parallel Training.
gpu-acceleration transfer-learning distributed-data-parallel text-to-image-generation generative-ai smoke-classification image-to-image-generation virtual-sample-augmentation
YOLOv3: An Incremental Improvement
python pytorch apex coco nvidia-docker pascal-voc yolov2 fpn yolov3 darknet53 yolov5 distributed-data-parallel yolov3-loss
🌠 End-to-end deep learning systems study: custom PyTorch ResNet-18 built from scratch, CUDA kernel profiling with torch.profiler, and multi-GPU PyTorch DistributedDataParallel (DDP) benchmarking on 2x NVIDIA RTX 4090 GPUs (achieving 1.72× speedup & 86% scaling efficiency).
benchmarking cuda pytorch ddp nccl resnet18 multi-gpu-training deep-learning-systems distributed-data-parallel rtx4090
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