d-misra Goto Github PK
Name: DM
Type: User
Location: France
Name: DM
Type: User
Location: France
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
Repo for R Data Science projects
Introduction to Remote Sensing for ENSAT 2A/M2 Sigma
Resources for deep learning with satellite & aerial imagery
A project to perform super-resolution on multispectral images from any satellite
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Segmentation models with pretrained backbones. PyTorch.
Semantic Segmentation using SegNet implemented in PyTorch
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
This is a centralized repo for various projects on Deep Learning, Computer Vision, Sensor Fusion, Path Planning etc. for the Udacity Self Driving Car Nanodegree
Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)
Performing image classification on Sentinel-2 satellite imagery.
Estimates the time-to-collision with data from Camera and LiDAR using Object Detection with YOLO and Keypoints matching
Plane Segmentation and Obstacle Clustering in LiDAR generated point clouds
A public sandbox for Shadow's Smart Grasping System
A system for quickly generating training data with weak supervision
SOTA medical image segmentation methods based on various challenges
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
High quality, fast, modular reference implementation of SSD in PyTorch
collection of super-resolution models & algorithms
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
HOG-based linear SVM for detecting vehicles (or any other object) in videos
Simple Swift projects to get started with iOS app development
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
My solution to the book <A collection of Data Science Take-home Challenges>
These are coding solutions for problems I study while preparing for technical interviews at tech companies
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
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.