mbahri's Stars
KrishnaswamyLab/DiffusionEMD
Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
thibsej/unbalanced_gromov_wasserstein
Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
DanielGonzalezAlv/Stochastic_SDOT
Optimal Transport
AberHu/Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
yarrick/iodine
Official git repo for iodine dns tunnel
CannyLab/tsne-cuda
GPU Accelerated t-SNE for CUDA with Python bindings
facebookresearch/iopath
A python library that provides common I/O interface across different storage backends.
tczhangzhi/pytorch-parallel
Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.
corkami/docs
documentations, slides decks...
corkami/pocs
Proof of Concepts (PE, PDF...)
corkami/pics
File formats dissections and more...
allenai/XNOR-Net
ImageNet classification using binary Convolutional Neural Networks
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
facebookresearch/fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
ranahanocka/point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
penrose/penrose
Create beautiful diagrams just by typing notation in plain text.
cmu-geometry/ddg-exercises-js
chrdiller/mitsuba-visualize
Visualizes meshes, pointclouds and video flythroughs in publication quality
vicolab/ml-pyxis
Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.
mkazhdan/PoissonRecon
Poisson Surface Reconstruction
nkolot/GraphCMR
Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"
Sha-Lab/FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
yinboc/prototypical-network-pytorch
A re-implementation of "Prototypical Networks for Few-shot Learning"
louaaron/TopologicalDeepLearning
A collection of Topology Methods in Deep Learning
NicolaBernini/PapersAnalysis
Analysis, summaries, cheatsheets about relevant papers
fxia22/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593