Python library for converting Python calculations into rendered latex.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Airborne LiDAR data manipulation and visualisation for forestry application

😻 pH7Builder (formerly pH7CMS) is a Professional & Open Source Social Dating CMS written in PHP 8 🚀 This Social Dating Script aims to be low resource-intensive, powerful and secure. pH7Builder incl…

Toolbox of models, callbacks, and datasets for AI/ML researchers.

An open source python library for automated feature engineering

Systematic Trading in python

12 Weeks, 24 Lessons, IoT for All!

Exploratory analysis of Bayesian models with Python

FinRL®: Financial Reinforcement Learning. 🔥

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Perform data science on data that remains in someone else's server

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Odin Runes, a java-based GPT client, facilitates interaction with your preferred GPT model right through your favorite text editor. There is more: It also facilitates prompt-engineering by extracti…

This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym …

A question answering system which utilises machine learning.

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering

Our NIPS 2017: Learning to Run source code

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

Statistical and Algorithmic Investing Strategies for Everyone

Exploration implementing reinforcement learning using Q-learning in Flappy Bird.

Python library for knowledge graph embedding and representation learning.

Granger causality discovery for neural networks.

Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London

Sample recommendation engine

ML.NET is an open source and cross-platform machine learning framework for .NET.

Mapping a variable-length sentence to a fixed-length vector using BERT model