Beast code in Giters

wty's starred repositories

segment-anything-2

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 the model.

Language:Jupyter NotebookApache-2.0946100

dst-admin-go

Don't Starve Together server panel. Manage room with ease, featuring visual world and mod management, player log collection。饥荒联机服务器面板。轻松管理房间，支持可视化的世界和模组管理，玩家日志采集

Language:GoGPL-3.040500

docker-dst-server

Don't Starve Together dedicated server in Docker!

Language:LuaGPL-2.047700

XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Language:PythonMIT169400

Tracking-Anything-with-DEVA

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

Language:PythonNOASSERTION119800

OmniIsaacGymEnvs

Reinforcement Learning Environments for Omniverse Isaac Gym

Language:PythonNOASSERTION80100

IsaacLab

Unified framework for robot learning built on NVIDIA Isaac Sim

Language:PythonNOASSERTION174600

Warp

Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.

NOASSERTION2063400

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

Language:Jupyter NotebookApache-2.0347400

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

Language:Jupyter NotebookMIT1180500

pythonguis-examples

Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2

Language:PythonMIT404400

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Language:PythonAGPL-3.02734400

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Language:PythonMIT230000

trocr-chinese

transformers ocr for chinese

Language:Python33300

waydroid

Waydroid uses a container-based approach to boot a full Android system on a regular GNU/Linux system like Ubuntu.

Language:PythonGPL-3.0745600

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Language:PythonAGPL-3.04917200

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

Language:PythonMIT491600

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookApache-2.04622200

models

Models and examples built with TensorFlow

Language:PythonNOASSERTION7689500

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Language:PythonNOASSERTION1298100

purejaxrl

Really Fast End-to-End Jax RL Implementations

Language:PythonApache-2.065500

pytorch-cifar

95.47% on CIFAR10 with PyTorch

Language:PythonMIT588500

crnn-pytorch

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch

Language:PythonMIT23900

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Language:PythonMPL-2.0797600

Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Language:PythonMIT119600

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

Language:PythonApache-2.0320100

ClashML

A machine learning analysis on a famous free mobile strategy game - Clash Royale.

Language:Python2600

Real-Time-Strategy-RL-Clash-Royale

A Reinforcement Learning agent for Clash Royale created using Proximal Policy Optimization

Language:Python1100

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

Language:CNOASSERTION6597900

ray

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.

Language:PythonApache-2.03265800