🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".

Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curatio…

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The fundamental package for scientific computing with Python.

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

some attention implements

A toolkit for developing and comparing reinforcement learning algorithms.

An Open Source Machine Learning Framework for Everyone

📚 Solutions to Introduction to Algorithms Third Edition

Simple Reinforcement learning tutorials

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

A fast single-direction queue for multiprocessing.

Implemented SVM in Python. In particular, the SMO algorithm is implemented.

THIS IS NOT A HTML REPOSITORY and im tired of changing autogenerated tag. ©2017 Brian Logan. A simple AI agent developed in Java. Using a pre-developed environment developed by professor Brian Logan.

This is a simple matlab implementation of a 2D tracking with Extended Kalman Filter

MATLAB experiments with Kalman filters (regular & unscented)

C header library for typed lists (using macros and "template" C).