zanussbaum

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

shap

A game theoretic approach to explain the output of any machine learning model.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

ml-engineering

Machine Learning Engineering Open Book

GPU-Puzzles

Solve puzzles. Learn CUDA.

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

rdkit

The official sources for the RDKit library

my_notes

My small cheatsheets for data science, ML, computer science and more.

nomic

Interact, analyze and structure massive text, image, embedding, audio and video datasets

dolma

Data and tools for generating and inspecting OLMo pre-training data.

selfies

Robust representation of semantically constrained graphs, in particular for molecules in chemistry

ama_prompting

Ask Me Anything language model prompting

foldingdiff

Diffusion models of protein structure; trigonometry and attention are all you need!

awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

datamol

Molecular Processing Made Easy.

contrastors

Train Models Contrastively in Pytorch

hyde

HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels

pipedream

electra_pytorch

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

openbiomechanics

The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.

foundation-models-for-dbt-entity-matching

Playground for using large language models into the Modern Data Stack for entity matching

reward-modeling

FLIP

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

DDPMs-Pytorch

Implementation of various DDPM papers to understand how they work

PEER_Benchmark

PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)

mt-metrics-eval

Tools for evaluating the performance of MT metrics on data from recent WMT metrics shared tasks.

bio-chem-lm

ProbTransformer

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

awesome-ml-for-biochemistry

Community-curated resources for research at the intersection of AI and molecular sciences

datasets

bio-datasets