jeongwhanchoi

llama

Inference code for LLaMA models

flash-attention

Fast and memory-efficient exact attention

StreamDiffusion

StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

ml-ferret

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

RMT

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

TabLLM

awesome-topological-deep-learning

A curated list of topological deep learning (TDL) resources and links.

GenVIS

[CVPR'23] A Generalized Framework for Video Instance Segmentation

VITA

VITA: Video Instance Segmentation via Object Token Association (NeurIPS 2022)

GRIT

This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".

ARLib

An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.

tabsyn

Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

pygsp_tutorial_graphsip

Graph signal processing tutorial, presented at the GraphSiP summer school.

DaRF

Official code implementation of "DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation"(NeurIPS 2023)

graph-gpt

Graph Learning with Generative Pretrained Transformers

PT4Code

NeuralCommonNeighbor

MiniROAD

Simplicial-Attention-Networks

Official Repository for Simplicial Attention Networks

Tab-CoT

Official homepage for Tab-CoT: Zero-shot Tabular Chain of Thought (Findings of ACL 2023)

SP-MPNN

Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".

revisiting-gnn-curvature

Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper

on-oversquashing

Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)

MolScaling

Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).

tabret

Oversquashing

Oversquashing in GNNs through the lens of information contraction and graph expansion

awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for tabular data

SEVAL

A library for software engineering task evaluation