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deep-learning-math-kernel-research

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion-fast

Faster generation with text-to-image diffusion models.

ideep

Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.

intel-extension-for-pytorch

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

models

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

onednn_verbose

OneDNN Verbose Toolkit

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

resnext3d-for-video-classification

Using https://github.com/facebookresearch/ClassyVision to implement Resnext3d

torchdynamo

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

training

Reference implementations of training benchmarks

training_results_v0.5

Training v0.5 results

vision

Datasets, Transforms and Models specific to Computer Vision

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite