Joey Litalien's starred repositories
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
MarkovJunior
Probabilistic language based on pattern matching and constraint propagation, 153 examples
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).
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)
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)".
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.)
differential-mc-estimators
Code for "Monte Carlo Estimators for Differential Light Transport" (SIGGRAPH 2021) by Tizian Zeltner, Sébastien Speierer, Iliyan Georgiev, and Wenzel Jakob
cv-gfx-ml-icons
CC0 icons for graphics, machine learning, computer vision