yu.wang's starred repositories
pytorch-direct_dgl
PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
TuringTrader
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Solutions.
strategies
quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)
Awesome-Optimizer
Collect optimizer related papers, data, repositories
awesome-optimization
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
recurrent-batch-normalization-pytorch
PyTorch implementation of recurrent batch normalization
python-package-template
A template repo for Python packages
SGK_Sites_and_Bots
免费在线社工库,免费Telegram社工库
awesome-neural-trees
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
QuantumultX-Rewrite
QuantumultX QX quantumult 圈X quanx 重写 脚本 rewrite 规则 分流 破解 解锁
Google_MTL
Google多任务模型MMoE
AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
tsf-new-paper-taste
A code implementation of new papers in the time series forecasting field.