hustzxd
PhD of Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS).
AMDBeijing
hustzxd's Stars
mli/paper-reading
深度学习经典、新论文逐段精读
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
riscv-software-src/riscv-isa-sim
Spike, a RISC-V ISA Simulator
liuzechun/Nonuniform-to-Uniform-Quantization
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
facebookresearch/bitsandbytes
Library for 8-bit optimizers and quantization routines.
shibing624/pycorrector
pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,Qwen2.5等模型应用在纠错场景,开箱即用。
intel/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
zhexinli/Q-ViT
Official source code of Q-ViT: Fully Differentiable Quantization for Vision Transformer
Sierkinhane/mtcnn-pytorch
A face detection algorithm
zhfeing/Bootstrapping-ViTs-pytorch
Official pytorch implementation for CVPR2022 paper "Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training"
rhhc/ZeroQ-MP
[CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
Efficient-ML/Awesome-Model-Quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
lgzz/ASKs
Asks: Convolution with any-shape kernels for efficient neural networks (Neurocomputing.2021)
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
synercys/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
oxcsaml2019/multitask-learning
kaijieshi7/awesome-dynamic-convolution
Dynamic convolution Paper collection.
ranandalon/mtl
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
hustzxd/EfficientPyTorch
A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
hertz-pj/dinglingling
dinglingling, your program over!
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
anonymous47823493/EagleEye
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
BYU-PRISM/GEKKO
GEKKO Python for Machine Learning and Dynamic Optimization
lmbxmu/ABCPruner
Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search
lehduong/NPTM
Network Pruning That Matters: A Case Study on Retraining Variants (ICLR 2021)
Eric-mingjie/network-slimming
Network Slimming (Pytorch) (ICCV 2017)
foolwood/pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
yehuitang/Pruning
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Network Pruning” (CVPR 2021).
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.