Stars
A Survey on Large Language Model-Based Game Agents
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
✨✨Latest Papers and Datasets on Mobile and PC GUI Agent
🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
[ECCV 2024] Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Robust recipes to align language models with human and AI preferences
A series of large language models developed by Baichuan Intelligent Technology
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
UI Automation Framework for Games and Apps
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
Benchmarking the Spectrum of Agent Capabilities
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
A collection of design patterns/idioms in Python
Code for the paper "Phasic Policy Gradient"
30 Seconds of C++ (STL in C++). Read More about 30C++ here 👉
为Docker Desktop for Mac/Windows开启Kubernetes和Istio。
Reinforcement Learning Agent that plays Heroic - Magic Duel
This repository contains executable versions of Embryo - Gomoku / Renju AI
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
A game theoretic approach to explain the output of any machine learning model.
Highly optimized inference engine for Binarized Neural Networks
Navigate in Google Drive as you do on shell (gshell = Google Drive + Shell).