mufeili

awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

IGB-Datasets

Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.

SPECTRE

Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML 2022)

MochiDiffusion

Run Stable Diffusion on Mac natively

captum

Model interpretability and understanding for PyTorch

Prompt-Engineering-Guide

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

dgl_captum

🤗A tutorial for using captum to explain dgl model

SUREL_Plus

[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.

llama

Inference code for Llama models

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

gptchem

FlexGen

Running large language models on a single GPU for throughput-oriented scenarios.

awesome-graph-transformer

Papers about graph transformers.

chroma

the AI-native open-source embedding database

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

DiGress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

rossmann-toolbox

Prediction and re-engineering of the cofactor specificity of Rossmann-fold proteins

HyperSCI

sparsetir-artifact

Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"

GraphLog

API for accessing the GraphLog dataset

BioGPT

GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

ChatGPT

Reverse engineered ChatGPT API

RoseTTAFold2NA

RoseTTAFold2 protein/nucleic acid complex prediction

bibfetch

Fetch bibtex entries from academic search engines like dblp.

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

tuning_playbook

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

GSAT

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.