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geomstats. Computations and statistics on manifolds with geometric structures.
★ 1.5kstochman. Algorithms for computations on random manifolds made easier
★ 101unicorn. (ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
★ 166bgflow. Boltzmann Generators and Normalizing Flows in PyTorch
★ 201libcpab. CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch
★ 51mkposters. Make posters from Markdown files.
★ 379diffusion-net. Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
★ 503deepmind-research. This repository contains implementations and illustrative code to accompany DeepMind publications
★ 15kpoint2mesh. Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
★ 1.2kGrouPy. Group Equivariant Convolutional Neural Networks
★ 103higher. higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
★ 1.6kPytorch-Heat-Method. A (crude) differentiable implementation of The Heat Method for Distance Computation (Geodesics in Heat), by Crane Et Al.
★ 11graph-neural-pde. Graph Neural PDEs
★ 342pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
★ 31ktorchplot. Plotting pytorch tensors made easy!
★ 15nflows. Normalizing flows in PyTorch
★ 1kcif. PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
★ 32vdvae. Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
★ 454pixel_models. Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
★ 36geotorch. Constrained optimization toolkit for PyTorch
★ 712manifold-flow. Manifold-learning flows (ℳ-flows)
★ 236hamiltorch. PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
★ 473c.vim. C/C++ IDE -- Write and run programs. Insert statements, idioms, comments etc.
★ 156