Popular GitHub Repositories for Annotated Genes

A large annotated semantic parsing corpus for developing natural language interfaces.

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

We introduce the Audio Logical Reasoning (ALR) dataset, consisting of 6,446 text-audio annotated samples specifically designed for complex reasoning tasks. Building on this resource, we propose SoundMind, a rule-based reinforcement learning (RL) algorithm tailored to endow audio language models (ALMs) with deep bimodal reasoning abilities.

[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

Annotations of the interesting ML papers I read

ML Research paper summaries, annotated papers and implementation walkthroughs

A fully-annotated, open-design dataset of autonomous and piloted high-speed flight

Open Paper is a place to upload your paper, highlight, leave comments, take notes, and chat all in one place. Search through your existing corpus of annotated papers.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

30 Days GANs Paper Reading

Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing Letters.

:hugs: AeroPath: An airway segmentation benchmark dataset with challenging pathology

Agentic Cell type annotation for Anndata objects

Deep learning methods for feature selection in gene expression autism data.

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.

Given one example of an annotated part, this model finds its semantic correspondences in a target image. Thus you get - one-shot semantic part correspondence!

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.