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Name: chetkhatri
Type: User
Location: India
Name: chetkhatri
Type: User
Location: India
Blockchain Technology for Developers (Course)
Assignments from the Coursera course "Bitcoin and Cryptocurrency Technologies"
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
fast.ai Courses
Cryptography Tool for Encrypting and Decrypting Message using Different Algorithms Used tools and technologies: Python 2.7.6 , WebApp2, Jinja2, Google App Engine, Google Data Store with GQL
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
Most popular python lib in baidu
materials and resources for workshop curriculum
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
TRAINING: DATA SCIENCE WITH APACHE SPARK 2.X
Deep Learning, Keras, Tensorflow & Spark Training by Databricks
TRAINING: APACHE SPARK TUNING AND BEST PRACTICES
The Leek group guide to data sharing
Predict facial landmarks with Deep CNNs powered by Caffe.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A collection of examples to get you started quickly with deep leraning projects
Deep Learning for NLP
This is authored by Sai Sagar Jinka. I tailored the Graphlab to suit for deep learning.
Deep learning tutorial for PyData London 2016
Deep Dream Challenge code by @SIrajology on Youtube (Learn Python for Data Science #5)
TensorFlow Basic Tutorial Labs
Machine and Deep Learning experiments manager using C++11 and Python.
A TensorFlow implementation of Baidu's DeepSpeech architecture
An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
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.