zanussbaum
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Zoomable, animated scatterplots in the browser that scales over a billion points
A Python library for fast and easy access to genomic resources such as sequence, data tracks, and annotations
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
PyTorch extensions for high performance and large scale training.
Machine Learning Engineering Open Book
Data and tools for generating and inspecting OLMo pre-training data.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Tools for evaluating the performance of MT metrics on data from recent WMT metrics shared tasks.
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
My small cheatsheets for data science, ML, computer science and more.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A playbook for systematically maximizing the performance of deep learning models.
The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
Playground for using large language models into the Modern Data Stack for entity matching
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Community-curated resources for research at the intersection of AI and molecular sciences
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
Interact, analyze and structure massive text, image, embedding, audio and video datasets
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
Ask Me Anything language model prompting
Diffusion models of protein structure; trigonometry and attention are all you need!