Popular GitHub Repositories for Discrete Choice

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

Mastering Atari with Discrete World Models

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Generation of protein sequences and evolutionary alignments via discrete diffusion models

面向中文大模型价值观的评估与对齐研究

DGMs for NLP. A roadmap.

HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch

Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

[CVPR 2023] LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

PyTorch Implementation of REINFORCE for both discrete & continuous control