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BachiLi avatar

BachiLi/redner

0
View on GitHub↗
1,439 stars·145 forks·NASL·MIT·13 viewspeople.csail.mit.edu/tzumao/diffrt↗

Redner

Differentiable rendering without approximation.

Features

  • Data and Graph Processing - Differentiable Monte Carlo path tracer.
  • Developer Tools - Differentiable path tracer.

Star history

Star history chart for bachili/rednerStar history chart for bachili/redner

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Redner

These projects share indexed features with Redner. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • bharathgs/naluB

    bharathgs/NALU

    0View on GitHub↗
    View on GitHub↗0
  • cornellius-gp/gpytorchcornellius-gp avatar

    cornellius-gp/gpytorch

    3,893View on GitHub↗

    GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process models. It provides a system for Gaussian process modeling and uncertainty estimation, designed to perform efficient matrix operations on graphics hardware. The framework features a modular kernel system for constructing custom covariance functions and modeling complex data dependencies. It specifically integrates Gaussian processes with deep neural networks to create hybrid models for regression and classification. The system employs numerical linear algebra techniques, inclu

    Python
    View on GitHub↗3,893
  • aiqm/torchaniaiqm avatar

    aiqm/torchani

    548View on GitHub↗

    TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.

    Python
    View on GitHub↗548
  • cvxgrp/cvxpylayerscvxgrp avatar

    cvxgrp/cvxpylayers

    2,106View on GitHub↗

    CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY. A convex optimization layer solves a parametrized convex optimization problem in the forward pass to produce a solution. It computes the derivative of the solution…

    Python
    View on GitHub↗2,106
Compare all 30 related projects→

Frequently asked questions

What does bachili/redner do?

Differentiable rendering without approximation.

What are the main features of bachili/redner?

The main features of bachili/redner are: Data and Graph Processing, Developer Tools.

Which projects share features with bachili/redner?

Projects with overlapping indexed features include: cornellius-gp/gpytorch — GPyTorch is a GPU-accelerated probabilistic framework and PyTorch library for implementing scalable Gaussian process… dmlc/dgl — DGL is a Python library for building and training graph neural networks. It functions as a graph message passing… aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network… bharathgs/nalu. cvxgrp/cvxpylayers — CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX… ferrine/geoopt — Riemannian Adaptive Optimization Methods with pytorch optim.