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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

adversarial_video_summary

PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bitsplit

BitSplit Post-trining Quantization

bladedisc

brecq

Pytorch implementation of BRECQ, ICLR 2021

calibtip

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

cnn-quantization

Quantization of Convolutional Neural networks.

condensenet

CondenseNet: Light weighted CNN for mobile devices

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

darts

Differentiable architecture search for convolutional and recurrent networks

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

facenet

Face recognition using Tensorflow

gal

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

gal-1

PyTorch implementation for GAL.

imagenet-fast

jd_seckill

京东秒杀商品抢购

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mqbench

Model Quantization Benchmark

nn-quantization-pytorch

objectdetection-onestagedet

onnx

Open standard for machine learning interoperability

opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, LLaMa2, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets.

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration