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Name: Ash
Type: User
Company: @sekilab
Bio: Research Scientist (Computer Vision) in Tokyo Past: IIT, UTokyo, NASA JPL, MIT
Location: Boston, Massachusetts
Name: Ash
Type: User
Company: @sekilab
Bio: Research Scientist (Computer Vision) in Tokyo Past: IIT, UTokyo, NASA JPL, MIT
Location: Boston, Massachusetts
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
Lane detection and tracking
Linux commands
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Script to copy/move files with the same name but different extensions.
This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
Neural networks for machine learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.
Threading and Multiprocessing in Python
Turn your Python application into an Android APK
Detect and track vehicles on a video stream and count those going through a defined line.
PyTorch GradCAM fork with custom classes for multi-label classification visualization
A PyTorch implementation of the YOLO v3 object detection algorithm
Python library for radar-based precipitation nowcasting based on optical flow techniques
A lightly modified Raspbian-light image supporting first boot customization.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
A web interface for the RPi Cam
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
A unified framework for machine learning with time series
This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Text and supporting code for Think Stats, 2nd Edition
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.