VisionOS App Python Library to stream head / wrist / finger tracking data from Vision Pro to any robots.

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.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

An unofficial yet elegant interface of the ChatGPT API using browser automation that bypasses cloudflare detection and recaptchas.

Playground for using large language models into the Modern Data Stack for entity matching

DepthAI Unity Library, Unity projects and examples (OAK For Unity)

scripts to simulate a velodyne lidar in unity and send the data packages via UDP like a real velodyne puck

Robotic simulation in Unity with ROS integration.

Virtual Generation of Lidar Data for Autonomous Vehicles

Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D-lite, OAK-D, OAK-1,...)

10x faster matrix and vector operations

Virtual tour in a digital twin of Sabae city in Japan

Free MLOps course from DataTalks.Club

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Unity's privacy-preserving human-centric synthetic data generator

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

High performance distributed framework for training deep learning recommendation models based on PyTorch.

Usage of comma.ai trained supercombo onnx model.

Pytorch framework for doing deep learning on point clouds.

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges

Implementations of various sentiment analysis methods in Python.

Real time neural network image manipulation based on DeepDream. Uses Caffe, OpenCV, Python, and CUDA GPU acceleration.

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000 slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000 页)和视频链接