Popular GitHub Repositories for Differentiable Renderer

A PyTorch Library for Accelerating 3D Deep Learning Research

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

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

Point-NeRF: Point-based Neural Radiance Fields

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

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

Hardware accelerated, batchable and differentiable optimizers in JAX.

3D mesh stylization driven by a text input in PyTorch

Swift for TensorFlow Deep Learning Library

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

Automatic view component renderer by AI agent

Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination