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.

The docker-compose files for setting up a SearXNG instance with docker.

✨ AI Coding, Vim Style

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Awesome Incremental Learning

(TPAMI 2024) A Survey on Open Vocabulary Learning

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

An awesome paper list of Semi-Supervised Learning under realistic settings.

CUDA Python: Performance meets Productivity

Paper List for Contrastive Learning for Natural Language Processing

LLM inference in C/C++

CodeBERT

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

(ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study

Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Methods and Implements of Deep Clustering

Small, fast and powerful console music player for Unix-like operating systems.

Deep Clustering for Unsupervised Learning of Visual Features

Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)

"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (ECCV 2022)

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The best ChatGPT that $100 can buy.

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.