Stars
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
DDPG, Decision Transformer, I2A with PPO, and SAC self-play on simulated combat humanoids
Inverse distance-weighted attention learns prototypes in a single-hidden-layer network trained with vanilla cross-entropy loss.
A Bitcoin wallet collider that brute forces random wallet addresses written in Rust.
Transparent and Efficient Financial Analysis
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
STUMPY is a powerful and scalable Python library for modern time series analysis
A high-performance algorithmic trading platform and event-driven backtester
Automatic extraction of relevant features from time series:
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python implementation of fractional brownian motion
Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python
Current and Historical Lists of S&P 500 components since 1996
Collection of indicators that I used in my strategies.
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Minimal PyTorch Library for Natural Evolution Strategies
Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
Implementation of the paper: Text Segmentation as a Supervised Learning Task