[Preprint] Official repository for "Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence"

👫 A curated list of Model Merging methods.

Automaticly generate your styled QR code in your web app.

[NeurIPS 2024] Official repository for "Offline Behavior Distillation"

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

PyTorch implementations of algorithms for density estimation

moffee: Make Markdown Ready to Present

[TNNLS] Official repository for "Attentive Learning Facilitates Generalization of Neural Networks"

A curated list of reinforcement learning with human feedback resources (continually updated)

Robust recipes to align language models with human and AI preferences

RewardBench: the first evaluation tool for reward models.

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Isaac Gym Reinforcement Learning Environments

Python Implementation of Reinforcement Learning: An Introduction

Repo for offline reinforcement learning methods

An educational resource to help anyone learn deep reinforcement learning.

An index of algorithms for offline reinforcement learning (offline-rl)

Public recipe files for Apptainer containers used on CSC HPC environments

An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

AI-Generated Images as Data Source: The Dawn of Synthetic Era

Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

List of papers studying machine learning through the lens of category theory