null's starred repositories
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
ColossalAI
Making large AI models cheaper, faster and more accessible
google-research
Google Research
qBittorrent
qBittorrent BitTorrent client
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
ue5-style-guide
An attempt to make Unreal Engine 4 projects more consistent
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
awesome-implicit-representations
A curated list of resources on implicit neural representations.
PyTorch-Multi-Style-Transfer
Neural Style and MSG-Net
awesome-mixture-of-experts
A collection of AWESOME things about mixture-of-experts
style-transfer-pytorch
Neural style transfer in PyTorch.
llm_benchmarks
A collection of benchmarks and datasets for evaluating LLM.
Graph-Neural-Network-Papers
Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning