thinh-re

thinh-re's Stars

• mert-kurttutan/torchview

  torchview: visualize pytorch models

  Language:Python85639

• thinh-re/mae

  Train MAE on Kaggle 2 GPUs (T4x2), Log to Wandb

  Language:Python2

• visionxiang/awesome-salient-object-detection

  A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.

  1005

• rawandahmad698/PyChatGPT

  ⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

  Language:Python4.2k442

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.7k1k

• statisticianinstilettos/recmetrics

  A library of metrics for evaluating recommender systems

  Language:Jupyter Notebook573100

• mindsdb/mindsdb

  Platform for building AI that can learn and answer questions over federated data.

  Language:Python27k4.9k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.5k1.2k

• PsorTheDoctor/artificial-intelligence

  AI projects in python, mostly Jupyter notebooks.

  Language:Jupyter Notebook17946

• tsinghua-fib-lab/GNN-Recommender-Systems

  An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

  996139

• EdisonLeeeee/Awesome-Masked-Autoencoders

  A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

  79352

• google-research/maskgit

  Official Jax Implementation of MaskGIT

  Language:Jupyter Notebook46950

• LTH14/mage

  A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

  Language:Python54326

• EnzymeAD/Enzyme

  High-performance automatic differentiation of LLVM and MLIR.

  Language:LLVM1.3k112

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.9k753

• isl-org/MiDaS

  Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  Language:Python4.6k640

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.5k3.7k

• hsouri/BayesianTransferLearning

  Language:Python10813

• yingchen001/BAT-Fill

  [ACM MM 2021] Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

  Language:Python315

• MCG-NJU/VideoMAE

  [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

  Language:Python1.4k136

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.4k1.3k

• IntelRealSense/librealsense

  Intel® RealSense™ SDK

  Language:C++7.7k4.8k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k952

• Hydragon516/SPSN

  [ECCV 2022] Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

  Language:Python504

• taozh2017/RGBD-SODsurvey

  RGB-D Salient Object Detection: A Survey

  Language:MATLAB34934

• DengPingFan/D3NetBenchmark

  Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks, IEEE TNNLS 2020

  Language:Python13518

• microsoft/FaceSynthetics

  Face synthetics datasets

  83359

• arthurdouillard/incremental_learning.pytorch

  A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

  Language:Python39259

• EPFL-VILAB/MultiMAE

  MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

  Language:Python55959

• yaoyao-liu/class-incremental-learning

  PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

  Language:Python46271