bharath5673 Goto Github PK
Name: bharath
Type: User
Bio: Computer Vision, Deep Learning, iot, EdgeAI, STEM, ADAS, medical image processing
Location: bengaluru
Blog: https://www.youtube.com/channel/UC3aFT0jWh0sCtzlNE_1gqRg
Name: bharath
Type: User
Bio: Computer Vision, Deep Learning, iot, EdgeAI, STEM, ADAS, medical image processing
Location: bengaluru
Blog: https://www.youtube.com/channel/UC3aFT0jWh0sCtzlNE_1gqRg
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Automatic License Plate Recognition library
(YOLOv5, YOLOv7) on openvino
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
:rocket: Optimus is the missing framework for cleansing (cleaning and much more), pre-processing and exploratory data analysis in a distributed fashion with Apache Spark.
ORB-SLAM3 0n ubuntu 22
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Common used path planning algorithms with animations.
Computer Vision Based People Counting Tool using Raspberry Pi and OpenCV
This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
PipelineAI: Real-Time Enterprise AI Platform
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.
An approach of machine learning techique to detect potholes using a very famous RPN based detection api YOLOV5. (pytorch)
Use pptx-tables to create tables more easily through Python-pptx.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
project - PREDATOR
An attempt to be able to see wifi router locations.
Repository to store sample python programs for python learning
Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.
A collection of machine learning examples using PySpark
Learn Spark using Python
Code snippets and tutorials for working with social science data in PySpark
OpenCV Python Computer Vision Examples used for Teaching
Implementation of multiple image stitching
Initial Publish... Yet to add the code...
Use pptx-tables to create tables more easily through Python-pptx.
Detect and track vehicles on a video stream and count those going through a defined line.
Python sample codes for robotics algorithms.
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.