Popular GitHub Repositories for Supervision

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

A system for quickly generating training data with weak supervision

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

[ICCV 2019] Monocular depth estimation from a single image

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

? A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

skweak: A software toolkit for weak supervision applied to NLP tasks

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Learning Named Entity Tagger from Domain-Specific Dictionary

Probing the representations of Vision Transformers.

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Manga&Comic text detection

Labelling platform for text using weak supervision.

[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.