msinghraniyal Goto Github PK

alphafold

Open source code for AlphaFold.

amd-ds

Data Science: AMD/OpenCL GPU Deep Learning: Setup Python + Caffe/XGBoost + 1.7x RAM

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-ai-in-finance

🔬 A curated list of awesome machine learning strategies & tools in financial market.

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

backtrader

Python Backtesting library for trading strategies

bash-it

A community Bash framework.

binance-tutorials

Real-Time Candlestick Charts and Crypto Trading Bot using Binance API and Websockets

candlestick-screener

web-based technical screener for candlestick patterns using Python and Flask

candlestickmaker

Bokeh demonstration of streaming and patching OHLC chart using synthetic generated data.

capmarket

cartpole

OpenAI's cartpole env solver.

cointex

A cross-platform multi-level game created in Python using Kivy.

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

de4s_model

A novel approach to time-series forecasting with multiple seasonal structures.

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep_rough_calibration

C Bayer, B Stemper (2018). Deep calibration of rough stochastic volatility models.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dm_memorytasks

A set of 13 diverse machine-learning tasks that require memory to solve.

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.

educational

eiten

Statistical and Algorithmic Investing Strategies for Everyone

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

evostrat

A library that makes Evolutionary Strategies (ES) simple to use.

example-hftish

Example Order Book Imbalance Algorithm

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faiss

A library for efficient similarity search and clustering of dense vectors.

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap: