ritesh1991 Goto Github PK
Name: Ritesh
Type: User
Bio: research engineer in machine and computer vision, robotics , deep learning
Location: India
Name: Ritesh
Type: User
Bio: research engineer in machine and computer vision, robotics , deep learning
Location: India
Bypass Paywalls for Chrome
Cloud framework for Cooperative Tracking And Mapping
A Secured TCP Chat Room built with Python.
collection of cheat sheets
Essential Cheat Sheets for deep learning and machine learning researchers
Images-based Clothes animation for virtual fitting
VehicleCounter components developed by Satyaki Chakraborty in GSoC 2015 program
Object detection with SSD MobileNet v2 COCO model optimized with TensorRT on NVIDIA Jetson Nano built upon Jetson Inference of dusty-nv (https://github.com/dusty-nv/jetson-inference).
Andoid + ROS Indigo + Robot = Magic
This project purpose is convert voc annotation xml file to yolo-darknet training file format
A tool to check the coordinate of points in an picture. You can know the (X,Y) coordination of the points by mouse operation. The tool provides magnify feature for easy point pick up.
Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"
Code snippets for our Book solutions
A Large Quadcopter Swarm
Kinect based interactive system using openFrameworks
All of the lecture notes from CS229: Machine Learning
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Public facing notes page
Augmented reality currency recognition
π₯π₯π₯π₯π₯π₯Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(ι«ζ§θ½ι¨η½²)
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A yolov3 based coke bottle detection model.
Convert your annotated data from one format to another format
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
Online Course from Harvard.edu CS109/2015
A conversion toolset between different object detection and instance segmentation annotation formats
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.