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.

[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)

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.

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

Deep Metric Transfer for Label Propagation with Limited Annotated Data

30 Days GANs Paper Reading

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.

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

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

Agentic Cell type annotation for Anndata objects

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.