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adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

aqi_vis

HW3 of Introduction to Visualization

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

band_vis

HW2 for intro to vis

bert-pytorch

Google AI 2018 BERT pytorch implementation

billysx.github.io

bitpack

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

coding-interview-university

A complete computer science study plan to become a software engineer.

cs-self-learning

计算机自学指南

deit

Official DeiT repository

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

eagleeye

(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

eigendamage-pytorch

Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934

everybodydancenow_reproduce_pytorch

Everybody dance now reproduced in pytorch

faster-rcnn-pytorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hap

[WACV'22] "HAP: Hessian-Aware Pruning and Optimal Neural Implant" by Shixing Yu*, Zhewei Yao*, Amir Gholami*, Zhen Dong*, Michael Mahoney, and Kurt Keutzer.

hawq

Quantization library for PyTorch. Support low-precision and mixed-precision, with hardware implementation through TVM.

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

imgclsmob

Sandbox for training deep learning networks

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

libpku

贵校课程资料民间整理

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mobilebert_pytorch

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

nachos

PKU computer science course - operating system lab

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

networklab_pensieve_pytorch

PKU cs course Computer Networking Lab course project. a pytorch implementation of Pensieve

nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

pkucourse

北大计算机课程大作业