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real-time-analytic

This repo gives an introduction to setting up streaming analytics using open source technologies

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

recipes

This repository shares end-to-end notebooks on how to use various features and integrations with Weaviate at the core!

recognize-anything

Open-source and strong foundation image recognition models.

recognizer_face_and_hand_gesture

Recognition face and hand gesture using library Insightface and modified Mediapipe using python

rectlabel-support

RectLabel is an offline image annotation tool for object detection and segmentation.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rembg

Rembg is a tool to remove images background

remove-silence-from-an-audio

renumics-rag

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖➕📚🟰❤️

resolve

Container scripts to build and run DaVinci Resolve [Studio] for Linux using Docker or Podman

rfid-access-control

Multi-level privilege access control system using RFID tags and passwords. Built with arduino based clients and a django server.

robustvideomatting

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

roop-unleashed

Evolved Fork of roop with Web Server and lots of additions

scalableml

Demo codes for scalable Machine Learning

scalingpythonml

Scaling Python Machine Learning

schoolwork

For projects, homework, etc.

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scipy-2016-sklearn

Scikit-learn tutorial at SciPy2016

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

scipy2015-blaze-bokeh

Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015

scipyus2016_dl-image

Introduction to Deep Learning for Image Recognition

segment-and-track-anything

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.

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.

segment-anything-annotator

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

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

semanticguidedhumanmatting

Robust Human Matting via Semantic Guidance, ACCV 2022.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

sentiment_analysis_fine_grain

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger