Ajay Reddy's repositories
Action-Net
A dataset of images for artificial intelligence models to recognize human actions.
awesome-flask
A curated list of awesome Flask resources and plugins
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
blockchain-learning-path
A suggested learning path for blockchain development
CompreFace
Free and open-source face recognition system from Exadel
deepstack-trainer
Custom Object Detection Training for DeepStack
Flask-MonitoringDashboard
Automatically monitor the evolving performance of Flask/Python web services.
flask-testing
Unittest extensions for Flask
flask-vuejs-template
Flask + Vue JS Template
full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
live-stream-face-detection
Live Streaming and Face Detection with Flask in Browser
make-sense
Free to use online tool for labelling photos. https://makesense.ai
Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
nats-server
High-Performance server for NATS.io, the cloud and edge native messaging system.
Object-Detection-and-Tracking
Object Detection and Multi-Object Tracking
object_detector_app
Real-Time Object Recognition App with Tensorflow and OpenCV
popdeveloper
Config files for my GitHub profile.
Python-Speech-Recognition-
This consist of basic examples of performing Speech Recognition in Python using Google Speech Recognition Engine
Realtime_Multi-Person_Pose_Estimation
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
TensorFlow-object-detection-tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Vehicle-Detection-and-Tracking
Vehicle detection using Tensorflow Object Detection API and tracking using Kalman-filtering
webrtc-streamer
WebRTC streamer for V4L2 capture devices and RTSP sources