Fir-lat

EBSW

Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance

MALA-on-random-feature-model

An implementation of MALA(Metropolis adjusted Langevin algorithm), GD, SGD, SGLD(Stochastic Gradient Langevin Dynamics), ULA(Unadjusted Langevin algorithm) on the RFM(Random Feature Model)

MALA-HMC

Metropolis-adjusted Langevin algorithm and Hybrid (Hamiltionian) Monte Carlo

von_mises_fisher

Model your data with the Von Mises-Fisher distribution in Python

Langevin-dynamics

Sampling with gradient-based Markov Chain Monte Carlo approaches

OmniTokenizer

OmniTokenizer: one model and one weight for image-video joint tokenization.

vision_transformer

Latte

Latte: Latent Diffusion Transformer for Video Generation.

CleanDiffuser

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

RPG-DiffusionMaster

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (PRG)

paper_utils

buffer-of-thought-llm

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

llm_multiagent_debate

ICML 2024: Improving Factuality and Reasoning in Language Models through Multiagent Debate

ESC

langroid

Harness LLMs with Multi-Agent Programming

ood_coverage

[ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

GraphOOD-GNNSafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

DeepInception

[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

DivOE

[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"

TF-as-SVM

Transform2Act

[ICLR 2022 Oral] Official PyTorch Implementation of "Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design".

G-OOD-D

[WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

eth-cs-notes

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

graph-ood-detection

A curated list of resources for OOD detection with graph data.

Unleashing-Mask

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"