joeylitalien

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

memray

Memray is a memory profiler for Python

MarkovJunior

Probabilistic language based on pattern matching and constraint propagation, 153 examples

kajiya

💡 Experimental real-time global illumination renderer 🦀

SwinIR

SwinIR: Image Restoration Using Swin Transformer (official repository)

torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

ADOP

mitsuba3

Mitsuba 3: A Retargetable Forward and Inverse Renderer

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

kaolin-wisp

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

HashNeRF-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

differentiable-sdf-rendering

Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)

NeuralRecon-W

Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)

drjit

Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering

manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

sdf-explorer

This is accompanying code for our JCGT / I3D paper, "A Dataset and Explorer for 3D Signed Distance Functions (SDF)".

vqad

neddf

[ECCV2022] Neural Density-Distance Fields (NeDDF)

cholespy

An easily integrable Cholesky solver on CPU and GPU

neural-light-fields

This repository contains the code for Learning Neural Light Fields with Ray-Space Embedding Networks.

LTC-Anisotropic

LTC approximation of the Anisotropic GGX for real-time area light shading with anisotropic reflection.

mitsuba-im

Immediate-mode fork of the mitsuba renderer. (See Wiki for branches.)

SAPE

differential-mc-estimators

Code for "Monte Carlo Estimators for Differential Light Transport" (SIGGRAPH 2021) by Tizian Zeltner, Sébastien Speierer, Iliyan Georgiev, and Wenzel Jakob

bpn

bpbrt4

pbrt-v4 render engine/exporter for Blender

regressionmc

cv-gfx-ml-icons

CC0 icons for graphics, machine learning, computer vision