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This repo gives an introduction to setting up streaming analytics using open source technologies
Clone a voice in 5 seconds to generate arbitrary speech in real-time
A list of papers on Generative Adversarial (Neural) Networks
This repository shares end-to-end notebooks on how to use various features and integrations with Weaviate at the core!
Open-source and strong foundation image recognition models.
Recognition face and hand gesture using library Insightface and modified Mediapipe using python
RectLabel is an offline image annotation tool for object detection and segmentation.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Rembg is a tool to remove images background
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖➕📚🟰❤️
Container scripts to build and run DaVinci Resolve [Studio] for Linux using Docker or Podman
Multi-level privilege access control system using RFID tags and passwords. Built with arduino based clients and a django server.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Evolved Fork of roop with Web Server and lots of additions
Demo codes for scalable Machine Learning
Scaling Python Machine Learning
For projects, homework, etc.
Jupyter notebooks from the scikit-learn video series
Scikit-learn tutorial at SciPy2016
Tutorial: Bayesian Statistical Analysis in Python
Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
Introduction to Deep Learning for Image Recognition
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
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.
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Robust Human Matting via Semantic Guidance, ACCV 2022.
Multilingual Sentence & Image Embeddings with BERT
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.