Accelerator66

Accelerator66's Stars

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.2k1562693.1k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.4k3263252.6k

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.8k604301.8k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k971812k

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k127217939

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.4k40189235

• yang-song/score_sde_pytorch

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

  Language:Jupyter Notebook1.8k1663324

• yang-song/score_sde

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

  Language:Jupyter Notebook1.5k1925208

• google-research/disentanglement_lib

  disentanglement_lib is an open-source library for research on learning disentangled representations.

  Language:Python1.4k3427203

• SerialLain3170/AwesomeAnimeResearch

  Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

  1.1k551070

• msurtsukov/neural-ode

  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  Language:Jupyter Notebook710134120

• YuliaRubanova/latent_ode

  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

  Language:Python5312214127

• AutodeskAILab/Fusion360GalleryDataset

  Data, tools, and documentation of the Fusion 360 Gallery Dataset

  Language:Jupyter Notebook451383955

• FudanVI/benchmarking-chinese-text-recognition

  This repository contains datasets and baselines for benchmarking Chinese text recognition.

  Language:Python44352552

• FudanVI/FudanOCR

  A toolbox of scene text super-resolution and recognition

  Language:Python382710362

• google-deepmind/gqn-datasets

  Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.

  Language:Python273181644

• EmilienDupont/neural-processes

  Pytorch implementation of Neural Processes for functions and images :fireworks:

  Language:Jupyter Notebook2268447

• SimiaoZuo/Transformer-Hawkes-Process

  Code for Transformer Hawkes Process, ICML 2020.

  Language:Python18171949

• google-deepmind/abstract-reasoning-matrices

  Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018

  17322540

• google-research/slot-attention-video

  Language:Python15572118

• iShohei220/torch-gqn

  PyTorch Implementation of Generative Query Network

  Language:Python13691030

• cagatayyildiz/ODE2VAE

  ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

  Language:Python1258627

• google-deepmind/physical_concepts

  Language:Jupyter Notebook1025110

• alisiahkoohi/Langevin-dynamics

  Sampling with gradient-based Markov Chain Monte Carlo approaches

  Language:Python92545

• rr-learning/disentanglement_dataset

  Language:Python75742

• soobinseo/Attentive-Neural-Process

  A Pytorch Implementation of Attentive Neural Process

  Language:Jupyter Notebook72669

• rosinality/igebm-pytorch

  Implicit Generation and Generalization in Energy Based Models in PyTorch

  Language:Python655313

• QiangAIResearcher/sahp_repo

  Language:Python582812

• ZijieH/LG-ODE

  Language:Python342510

• FudanVI/compositional-scene-representation-toolbox

  A toolbox of compositional scene representation learning methods and benchmark datasets.

  Language:Python12102