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Type: User
Bio: Deep Learning Engineer @FractalAnalytics
Type: User
Bio: Deep Learning Engineer @FractalAnalytics
A curated list of papers & ressources linked to 3D reconstruction from images.
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep networks for Earth Observation
Emotion recognition using DNN with tensorflow
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Python coded examples and documentation of machine learning algorithms.
The repository contains python codes of Machine Learning
Models built with TensorFlow
OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Computation using data flow graphs for scalable machine learning
Notebooks for Course
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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.