LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey | Awesome Human-Agent Collaboration | Human-AI Collaboration

Code for "Reasoning to Learn from Latent Thoughts"

Generative AI Act II: Test Time Scaling Drives Cognition Engineering

General-purpose framework for creating metroidvania games in Godot.

An efficient prompt optimization method that uses zeroth-order method to optimize the prompts for black-box LLMs.

[ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

[ICLR 2025] Official Implementation of ParetoFlow: Guided Flows in Multi-Objective Optimization🧬🧬🧬

Official Repo for Open-Reasoner-Zero

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase for benchmarking Predict-then-Optimize (PtO) problems using …

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Official implementation of "Flow-based Distributionally Robust Optimization"

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

A collection of papers on diffusion models for 3D generation.

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Contrastive Language-Audio Pretraining

Temporal Graph Benchmark project repo

Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)

Must-read Papers on Large Language Model (LLM) Planning.

Robust recipes to align language models with human and AI preferences

Aligning Large Language Models with Human: A Survey

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily conf…

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

An open source implementation of CLIP.