mengkunzhao

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

AugLy

A data augmentations library for audio, image, text, and video.

Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers

Awesome-Geospatial

Long list of geospatial tools and resources

awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

ChangeFormer

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

ddfnet

The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

DeepClustering

Methods and Implements of Deep Clustering

fairscale

PyTorch extensions for high performance and large scale training.

fiftyone

The open-source tool for building high-quality datasets and computer vision models

HSI_baseline

A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

LabelPropagation

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Lightly_LabelStudio_AL

uses Lightly and LabelStudio to performa a complete AL workflow from dataset scraping to usage

mobile-vision

Mobile vision models and code

mtrl

Multi Task RL Baselines

MulimgViewer

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

multiview_learning

NvidiaTLTActiveLearning

Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT).

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

research-method

论文写作与资料分享

satellite-image-deep-learning

Deep learning with satellite & aerial imagery

SOTA-Deep-Anomaly-Detection

List of implementation of SOTA deep anomaly detection methods

TDC

Therapeutics Data Commons: Artificial Intelligence Foundation for Therapeutic Science

torchsummaryX

torchsummaryX: Improved visualization tool of torchsummary

VISO

[IEEE TGRS 2021] Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.