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Tensors and Dynamic neural networks in Python with strong GPU acceleration
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch Tutorial for Deep Learning Researchers
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 set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
TradingAgents: Multi-Agents LLM Financial Trading Framework
Code samples for my book "Neural Networks and Deep Learning"
Open source software that helps you create and deploy high-frequency crypto trading bots
A computer algebra system written in pure Python
An elegant PyTorch deep reinforcement learning library.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
PyTorch implementations of deep reinforcement learning algorithms and environments
Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
A library of reinforcement learning components and agents
Hands-on Deep Reinforcement Learning, published by Packt
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
Trading strategy for the Freqtrade crypto bot
For running psychology and neuroscience experiments
Deep and online learning with spiking neural networks in Python
Simulation of spiking neural networks (SNNs) using PyTorch.
Pure python implementation of SNN