Stars
PyTorch implementation of Contrastive Learning methods
High dynamic range (HDR) image viewer for people who care about colors
Visualizations for machine learning datasets
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A procedural Blender pipeline for photorealistic training image generation
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
A PyTorch Library for Accelerating 3D Deep Learning Research
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Image augmentation for machine learning experiments.
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.
Convolutional Neural Network for 3D meshes in PyTorch
[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Code release for Local Light Field Fusion at SIGGRAPH 2019
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
Real-time surfel-based mesh reconstruction from RGB-D video.
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
Latex code for making neural networks diagrams
Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]