Septum Capital Founder's repositories
FX-1-Minute-Data
HISTDATA - Full Dataset composed of 68 FX trading pairs / Simple API to retrieve 1 Minute data Historical FX Prices (up to June 2019).
neural-tangents
Fast and Easy Infinite Neural Networks in Python
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
awesome_time_series_in_python
This curated list contains python packages for time series analysis
dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
Financial-Machine-Learning-1
Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado
firedancer
Firedancer is Jump Crypto's Solana consensus node implementation.
forecast
forecast package for R
gam_rhn
Experiments in Recurrent Highway Networks with Grouped Auxiliary Memory paper
gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Machine-Learning-with-Python-1
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
pycma
Python implementation of CMA-ES
pythonflow
:snake: Dataflow programming for python.
pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
quant-trading
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle
solana
Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
TimeSeries_Notebooks_Collections
Jupyter Notebooks Collection for Learning Time Series Models
trax
Trax — your path to advanced deep learning