🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

🦜🔗 The platform for reliable agents.

Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication

Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

Our library for RL environments + evals

Nonlinear normal form analysis using truncated power series

Kappa - ϰ-framework for curating datasets and models

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

Living Review of Machine Learning for Particle Accelerators

Play with neural networks!

Visualizer for neural network, deep learning and machine learning models

Algorithmic trading framework for cryptocurrencies.

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

Quantitative Algorithmic Trading Arbitrage Bot for High Frequency Trading (HFT). Martha_Stewart executes trades at the best price by capitalizing on infinitesimal price discrepancies in the stock m…

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

NumPy and SciPy on Multi-Node Multi-GPU systems

The trajectory of the bubbles

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

NVIDIA curated collection of educational resources related to general purpose GPU programming.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

The development repository for the deal.II finite element library

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG