geriskenderi

geriskenderi's Stars

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python842148

• facebookresearch/disentangling-correlated-factors

  A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.

  Language:Python647

• ahoyosid/hyperbolic_alignment

  This repo contains a base implementation for aligning hyperbolic representations using an Optimal Transport-based approach.

  Language:Python73

• yang-song/score_sde_pytorch

  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.7k305

• gurusabarish/hugo-profile

  A highly customizable and mobile first Hugo template for personal portfolio and blog.

  Language:HTML741423

• optimaltransport/optimaltransport.github.io

  Web site of the Computational Optimal Transport book

  Language:MATLAB35291

• tfjgeorge/nngeometry

  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

  Language:Python20320

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.7k927

• rasbt/pattern_classification

  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

  Language:Jupyter Notebook4.1k1.3k

• lucidrains/x-clip

  A concise but complete implementation of CLIP with various experimental improvements from recent papers

  Language:Python67646

• jonkrohn/ML-foundations

  Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

  Language:Jupyter Notebook3.3k1.6k

• huggingface/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

  Language:Python31.5k4.7k

• cli/cli

  GitHub’s official command line tool

  Language:Go36.7k5.6k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.5k1.1k

• gear/gfnn

  Graph Filter Neural Network (ICPR'20)

  Language:Jupyter Notebook456

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k161

• amir-abdi/disentanglement-pytorch

  Disentanglement library for PyTorch

  Language:Python27129

• Sprea22/NeuralCaptiongSystem_Model-Dataset

  Language:Jupyter Notebook2

• epfml/ML_course

  EPFL Machine Learning Course, Fall 2024

  Language:Jupyter Notebook1.2k859

• xxxnell/how-do-vits-work

  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

  Language:Python80578

• lucidrains/ETSformer-pytorch

  Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

  Language:Python14420

• nashory/gans-awesome-applications

  Curated list of awesome GAN applications and demo

  4.9k804

• alex-matton/causal-transformer-decoder

  Language:Python714

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.9k857

• younggyoseo/vae-cf-pytorch

  Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch

  Language:Python13021

• yoongi0428/RecSys_PyTorch

  PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

  Language:Python13620

• StanfordASL/Trajectron-plus-plus

  Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

  Language:Jupyter Notebook646183

• kampta/pytorch-distributions

  Basic VAE flow using pytorch distributions

  Language:Python353

• vinayprabhu/Disentanglement_NEURIPS_2019

  On disentangling the menagerie of disentanglement papers

  271

• HumaticsLAB/GTM-Transformer

  Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends

  Language:Python3917