2284 Open source projects that are alternatives of or similar to Darwinexlabs

🚀 Websocket based trading bot for 💰cryptocurrencies 📈

Statistical and Algorithmic Investing Strategies for Everyone

🕵 Artificial Intelligence for social control of public administration

High-performance Vision library in Python. Scale your research, not boilerplate.

Efficient Learning of Augmentation Policy Schedules

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

💹 openAlgo is a public repository for various work product relavant to algorithms and the high frequency low latency electronic trading space with a bias toward market microstructure as well as exchange traded futures and options.

Avalanche: a End-to-End Library for Continual Learning.

Quantitative finance research tools in Python

NFStream: a Flexible Network Data Analysis Framework.

Code and other material for the book "Deep Learning and the Game of Go"

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Notebooks based on financial machine learning.

Library to scrape and clean web pages to create massive datasets.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Learning to Learn in TensorFlow

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Daily Dose of Neural Network that Everyone Needs

pyclustring is a Python, C++ data mining library.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

Slide show presentations regarding data driven investing.

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Disclaimer: This is not an official Google product.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Finding the genre of a song with Deep Learning

Monthly Series - Machine Learning Top 10 Open Source Projects

Best Practices, code samples, and documentation for Computer Vision.

PHP-ML - Machine Learning library for PHP

🤖 Python application responsible for Serenata de Amor's intelligence

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Multi-class confusion matrix library in Python

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

An automatic ML model optimization tool.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

An advanced crypto trading bot written in Python

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Koç University deep learning framework.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

TensorFlow-based neural network library

A simple from-scratch neural net written in Go

Vectorized backtester and trading engine for QuantRocket

Data transformations for the ML era

Deep Learning tools for brain medical images

Datasets, tools, and benchmarks for representation learning of code.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

🦄 The Enterprise™ programming language

Best Practices on Recommendation Systems

Autodifferentiation package in Rust.

Concise deep learning for JAX

Spying using Smartwatch and Deep Learning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Aspect Based Sentiment Analysis using End-to-End Memory Networks

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).