yuchaoli

cpufp

A CPU tool for benchmarking the peak of floating points

stable-diffusion

A latent text-to-image diffusion model

CC

Towards Compact CNNs via Collaborative Compression

Uni-Fold

An open-source platform for developing protein models beyond AlphaFold.

PST

Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.

AliceMind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

KSE

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

BladeDISC

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

1xN

Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

lottery-jackpots

Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models

TileSparsity

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

cutlass_tilesparse

CUDA templates for tile-sparse matrix multiplication based on CUTLASS.

XNAS

XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Awesome-Pruning

A curated list of neural network pruning resources.

deep_rl

PyTorch implementation of deep reinforcement learning algorithms

CNN_Compression

Code repository for our paper "Coreset-Based Neural Network Compression", published in ECCV 2018

README

README文件语法解读，即Github Flavored Markdown语法介绍

GDP

Tensorflow implementation for GDP.

FBGEMM

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

netron

Visualizer for neural network, deep learning and machine learning models

grammarly

Grammarly for VS Code

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

DDPNAS

Dynamic Distribution Pruning for Efficient Network Architecture Search

oneDNN

oneAPI Deep Neural Network Library (oneDNN)