Advances in Financial Machine Learning

A non-linear least squares solver

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq, and with many additional classes and methods for curve fitting

A large scale non-linear optimization library

C++ implementation of the Google logging module

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

30 mini Swift Apps for self-study

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Zipline, a Pythonic Algorithmic Trading Library

Python sync/async framework for Interactive Brokers API

Python Backtesting library for trading strategies

A crash course in six episodes for software developers who want to become machine learning practitioners.

Hidden Markov Models in Python, with scikit-learn like API

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

C# shared memory classes for sharing data between processes (Array, Buffer and Circular Buffer)

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

Python Algorithmic Trading Library

QTPyLib, Pythonic Algorithmic Trading

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Visual Studio Code

Algorithmic trading with deep learning experiments

A collection of machine learning examples and tutorials.

Python for Finance (O'Reilly)

Basic python client implementation of TDAmeritrade API

Topic Modelling for Humans

Systematic Investor Toolkit

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast