Vanint

Awesome-LongTailed-Learning

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

SADE-AgnosticLT

This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition (NeurIPS 2022).

DatasetExpansion

The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).

Core-tuning

This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning (NeurIPS21).

CoUDA

This project provides the source code for “Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (IEEE TIP 2020)”.

OA3

The codes for OA3.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Awesome-of-Long-Tailed-Recognition

A curated list of long-tailed recognition resources.

Awesome-Super-Resolution

A curated list of awesome super-resolution resources.

clip-interrogator

Image to prompt with BLIP and CLIP

CMC

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

COVID-DA

The dataset used in COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19

CPGA

cs6101

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

CS6216-Project

CS6216 Project, National University of Sinagpore, 2021

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

few-shot-gnn

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

LCM

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

MonoTTA

Code release for the ECCV 2024 paper 'Fully Test-Time Adaptation for Monocular 3D Object Detection'

MWGAN

PyTorch implementation of "Multi-marginal Wasserstein GAN" (NeurIPS2019)

OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

RAT

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

SAR

Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

SDT

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.