Bin-CH

Bin-CH's Stars

• hkgsas/LOB

  Benchmark Dataset of Limit Order Book in China Markets

  Language:Python18890

• Jeonghwan-Cheon/lob-deep-learning

  Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

  Language:Python8422

• caokyhieu/DELAFO-DeEp-Learning-Approach-for-portFolio-Optimization

  Language:Python2313

• layer6ai-labs/T-Fixup

  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"

  Language:Python8911

• jamarju/riiid-acp-pub

  Riiid! Answer Correctness Predction 3rd place solution

  Language:Jupyter Notebook5615

• kibitzing/BayesianRNN_pytorch

  pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.05287)

  Language:Python19

• cbokpark/Pytorch-A-Theoretically-Grounded-Application-of-Dropout-in-Recurrent-Neural-Networks

  Pytorch implementation of A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

  Language:Python52

• seba-1511/lstms.pth

  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

  Language:Python13624

• keitakurita/Better_LSTM_PyTorch

  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

  Language:Python13320

• mourga/variational-lstm

  PyTorch implementation of Variational LSTM and Monte Carlo dropout.

  Language:Python555

• hichenway/stock_predict_with_LSTM

  Predict stock with LSTM supporting pytorch, keras and tensorflow

  Language:Python742293

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.6k2.2k

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.8k1.2k

• CharlieSCC/alpha

  Language:Jupyter Notebook9211

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.8k3k

• phonegapX/alphasickle

  多因子指数增强策略/多因子全流程实现

  Language:Python256117

• KurochkinAlexey/IMV_LSTM

  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

  Language:Jupyter Notebook10328

• pushpendughosh/Stock-market-forecasting

  Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

  Language:Python399132

• datawhalechina/daily-interview

  Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

  Language:HTML2.5k424

• NehrenD/algo_trading_and_quant_strategies

  Supplemental Material for Algorithmic Trading and Quantitative Strategies

  Language:Jupyter Notebook25890