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GPTQ inference Triton kernel

Actively maintained ONNX Optimizer

Statistical data visualization in Python

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Train…

Model Quantization Benchmark

This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"

An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.

Must-read papers on graph neural networks (GNN)

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

A list of papers for scene understanding in computer vision.

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

Open standard for machine learning interoperability

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

Training Quantized Neural Networks with a Full-precision Auxiliary Module

A Collection of Variational Autoencoders (VAE) in PyTorch.

The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%