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📚 Papers by organizations sharing their work on applied data science & machine learning.
Solving Sudoku Puzzles in the Browser Using Augmented Reality
CS-E4850 Computer Vision Course - Python assignments
CS-E4850 Computer Vision Course 2019 - Python assignments
DataCamp in Coursera,edx and other things
Code repository for our paper: Deep Iterative Surface Normal Estimation
Sample app code for LPR deployment on DeepStream
A project demonstrating use of Python for DeepStream sample apps given as a part of SDK (that are currently in C,C++).
Notebooks for learning deep learning
TensorFlow documentation
Python and JavaScript bindings for calling the Earth Engine API.
Tutorials and content created by Earth Engine users, for Earth Engine users
Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.
Gstreamer command-line cheat sheet
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.
A License Plate Image Reconstruction Project in Tensorflow2
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
A collection of pre-trained, state-of-the-art models in the ONNX format
Publication-ready NN-architecture schematics.
100 numpy exercises (100% complete)
This is a brief post explaining the concept of probes and its usage w.r.t GStreamer pipelines
Python best practices guidebook, written for humans.
Graph Neural Network Library for PyTorch
QuIP provides an interactive environment for computing and presenting images and image sequences, manipulating and storing arbitrary data, and general scientific computing and plotting. The current release supports unix-like operating systems (tested on Linux and Mac OSX), and Apple's iOS mobile operating system. GPU acceleration is supported with either CUDA or OpenCL. There is built-in support for psychophysical experimentation, with general-purpose staircase routines and analysis of psychometric functions.
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
SImple example getting TensorFlow Lite up and running on the ESP32 with Platform.io
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Understanding Deep Learning - Simon J.D. Prince
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.