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real-time-abnormal-events-detection-and-tracking-in-surveillance-system

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.

real-time-ocr

Real-time OCR with Tensorflow, openCV & Tesseract

real-time-voice-cloning

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

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

resemblyzer

A python package to analyze and compare voices with deep learning

responsible-ai

Responsible AI knowledge base

restaurant-chatbot

Tutorial to make a simple NLP chatbot with Intent classification, FastText, Flask, AJAX

rippled

Decentralized cryptocurrency blockchain daemon implementing the XRP Ledger in C++

river

🌊 Online machine learning in Python

rouge

A full Python Implementation of the ROUGE Metric (not a wrapper)

santran

A Machine Learning project to translate Sanskrit text to English

sarcasm_detection_nlp_tensorflow

A TensorFlow project to detect sarcasm in tweets using the power of GloVe embeddings and Convolution layers.

scaledyolov4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

scibert

A BERT model for scientific text.

scikit-hts

Hierarchical Time Series Forecasting with a familiar API

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-intelex

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

selenium-chromium-lambda

λ How to run automated (Selenium) headless Chromium in AWS Lambda

semantic-document-relations

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

semantic-search-with-sbert

Build Semantic Search with S-BERT and Fine-tune your model in unsupervised way

semantic_matching

semisupervised_timeseries_infogan

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

sentence_similarity

Package to calculate the similarity score between two sentences

sentencebert_vs_siameselstm

Master's thesis repository with evaluation of BERT-based models on Quora Question Dataset, in comparison to Siamese LSTM models

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

seq2sql

The project contains tutorials and resources for the sequence to sql technieques.

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"