bearnshaw

bearnshaw's Stars

• Ligo-Biosciences/AlphaFold3

  Open source implementation of AlphaFold3

  Language:Python76455

• microsoft/mup

  maximal update parametrization (µP)

  Language:Jupyter Notebook1.4k93

• simonw/llm

  Access large language models from the command-line

  Language:Python4.3k237

• openmm/spice-dataset

  A collection of QM data for training potential functions

  Language:Python1479

• cxli233/FriendsDontLetFriends

  Friends don't let friends make certain types of data visualization - What are they and why are they bad.

  Language:R6.3k228

• TUM-DAML/gemnet_pytorch

  GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

  Language:Python17729

• GFNOrg/torchgfn

  GFlowNet library

  Language:Jupyter Notebook21326

• inverse-scaling/prize

  A prize for finding tasks that cause large language models to show inverse scaling

  59325

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX48.1k4.7k

• RelationRx/pyrelational

  pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.

  Language:Python15112

• arpitbansal297/Cold-Diffusion-Models

  Official implementation of Cold-Diffusion for different transformations in pytorch.

  Language:Python1k79

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.7k10.1k

• DiffEqML/torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  Language:Jupyter Notebook1.4k126

• ICB-DCM/pyABC

  distributed, likelihood-free inference

  Language:Python20444

• google-research/disentanglement_lib

  disentanglement_lib is an open-source library for research on learning disentangled representations.

  Language:Python1.4k205

• IgorSusmelj/pytorch-styleguide

  An unofficial styleguide and best practices summary for PyTorch

  Language:Python1.9k170

• GFNOrg/gflownet

  Generative Flow Networks

  Language:Python59475

• DavisTrey/ExperimentationResources

  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms

  14421

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python6.9k998

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.7k2k

• lux-org/lux

  Automatically visualize your pandas dataframe via a single print! 📊 💡

  Language:Python5.1k364

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.4k1.7k

• AutoViML/AutoViz

  Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

  Language:Python1.7k197

• sfu-db/dataprep

  Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

  Language:Python2k204

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8.3k887

• shap/shap

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

  Language:Jupyter Notebook22.6k3.3k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.6k1k

• google-deepmind/jraph

  A Graph Neural Network Library in Jax

  Language:Python1.4k88

• google-deepmind/chex

  Language:Python76744

• google-deepmind/rlax

  Language:Python1.2k85