nband

nband's Stars

• KellerJordan/modded-nanogpt

  GPT-2 (124M) quality in 5B tokens

  Language:Python22713

• EveripediaNetwork/fastc

  Unattended Lightweight Text Classifiers with LLM Embeddings

  Language:Python16510

• tatsu-lab/linguistic_calibration

  Align your LM to express calibrated verbal statements of confidence in its long-form generations.

  Language:Python164

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.7k562

• OpenBioLink/ThoughtSource

  A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

  Language:Jupyter Notebook86769

• acganesh/compendium

  Stanford course notes in math / CS

  Language:TeX132

• aws-samples/aws-mlu-explain

  Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

  Language:JavaScript44067

• BradyAJohnston/MolecularNodes

  Toolbox for molecular animations in Blender, powered by Geometry Nodes.

  Language:Python88382

• kathoffman/causal-inference-visual-guides

  A collection of visual guides to help applied scientists learn causal inference.

  23920

• bigscience-workshop/promptsource

  Toolkit for creating, sharing and using natural language prompts.

  Language:Python2.6k346

• stanford-crfm/mistral

  Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.

  Language:Python55549

• p-lambda/wilds

  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

  Language:Python546125

• jlko/neural-modular

  Simple modular codebase that makes it easy to plug in new datasets, models, or configs while keeping track of experiments.

  Language:Python7

• bndr/pipreqs

  pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

  Language:Python6.1k383

• google-research/disentanglement_lib

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

  Language:Python1.4k205

• clarken92/DisentanglementMetrics

  This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"

  Language:Python172

• google-deepmind/xmanager

  A platform for managing machine learning experiments

  Language:Python81445

• chaitjo/efficient-gnns

  Code and resources on scalable and efficient Graph Neural Networks

  Language:Python52563

• aterenin/phdthesis

  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

  Language:TeX1957

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.2k9.5k

• davda54/sam

  SAM: Sharpness-Aware Minimization (PyTorch)

  Language:Python1.7k195

• Shifts-Project/shifts

  This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

  Language:Jupyter Notebook22549

• FabianFalck/mfcvae

  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

  Language:Python388

• OATML/non-parametric-transformers

  Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

  Language:Python40340

• facebookresearch/CPA

  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

  Language:Jupyter Notebook17448

• joe-siyuan-qiao/WeightStandardization

  Standardizing weights to accelerate micro-batch training

  54643

• ildoonet/pytorch-randaugment

  Unofficial PyTorch Reimplementation of RandAugment.

  Language:Python62798

• Overv/outrun

  Execute a local command using the processing power of another Linux machine.

  Language:Python3.1k64

• lucidrains/lie-transformer-pytorch

  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

  Language:Python8710

• dongryul-kim/harvard_notes

  Notes for courses taken at Harvard (2015--2019)

  42251