Popular GitHub Repositories for Differentiable Simulations

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A PyTorch Library for Accelerating 3D Deep Learning Research

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Real-time end-to-end singing voice conversion system based on DDSP (Differentiable Digital Signal Processing)

A library for differentiable nonlinear optimization

A general-purpose probabilistic programming system with programmable inference

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

A differentiable PDE solving framework for machine learning

High-performance automatic differentiation of LLVM and MLIR.

Differentiable rendering without approximation.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Point-NeRF: Point-based Neural Radiance Fields

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Brian is a free, open source simulator for spiking neural networks.

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

Hardware accelerated, batchable and differentiable optimizers in JAX.