Pinned Repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
AAAI
Official repo of RepOptimizers and RepOpt-VGG
AAAI-challenge
The content of training for the contest
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
aihwkit
IBM Analog Hardware Acceleration Kit
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
awesome-implicit-representations
A curated list of resources on implicit neural representations.
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
qhy991's Repositories
qhy991/AAAI-challenge
The content of training for the contest
qhy991/AAAI
Official repo of RepOptimizers and RepOpt-VGG
qhy991/aihwkit
IBM Analog Hardware Acceleration Kit
qhy991/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
qhy991/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
qhy991/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
qhy991/awesome-implicit-representations
A curated list of resources on implicit neural representations.
qhy991/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
qhy991/Blog-Note
qhy991/CS-Books
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
qhy991/cs-video-courses
List of Computer Science courses with video lectures.
qhy991/ELL
Embedded Learning Library
qhy991/haiyan-q.github.io
Blog Platform
qhy991/learnGitBranching
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
qhy991/manim
Animation engine for explanatory math videos
qhy991/mermaid
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
qhy991/Neural-Networks-on-Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
qhy991/numpy-ml
Machine learning, in numpy
qhy991/obsidian_vault_template_for_researcher
This is an vault template for researchers using obsidian.
qhy991/Optical-Flow-For-Spiking-Camera
SNN-related-work
qhy991/pytorch_bert
Tutorial for how to build BERT from scratch
qhy991/qhy991
Config files for my GitHub profile.
qhy991/qhy991.github.io
qhy991/QPyTorch
Low Precision Arithmetic Simulation in PyTorch
qhy991/ShiArthur03
qhy991/the-art-of-command-line
Master the command line, in one page
qhy991/TinyML-Contest-Solution
qhy991/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
qhy991/United-Perception
United Perception
qhy991/vega
AutoML tools chain