azmatjahan Goto Github PK
Name: Azmatt
Type: User
Company: Book Logic
Bio: Masters in Applied mathematics Data analyst by using statistics, python, numpy. Learner of machine learning
Location: Pakistan
Blog: www.booklogic.net
Name: Azmatt
Type: User
Company: Book Logic
Bio: Masters in Applied mathematics Data analyst by using statistics, python, numpy. Learner of machine learning
Location: Pakistan
Blog: www.booklogic.net
For the next 30 days, learn the Python Programming language.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Quiz & Assignment of Coursera
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.
This is a POC to run Deep Learning techniques for images (vehicles) classification in a local computer with limited data
The Web framework for perfectionists with deadlines.
Official Docker Image for Node.js :whale: :turtle: :rocket:
The Open edX platform, the software that powers edX!
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
Example pastebin with websockets, sqlalchemy, facebook connect and a bunch of other buzzwords
Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
A tool to surface security issues in python code
A curated collection of free Deep Learning related eBooks
Crash course project for learning version control with Git
Lab Materials for MIT 6.S191: Introduction to Deep Learning
In Machine Learning, the types of Learning can broadly be classified into three types: 1. Supervised Learning, 2. Unsupervised Learning and 3. Semi-supervised Learning. Algorithms belonging to the family of Unsupervised Learning have no variable to predict tied to the data. Instead of having an output, the data only has an input which would be multiple variables that describe the data. This is where clustering comes in.
Machine Learning Toolkit for Kubernetes
Rmd source files for the HarvardX series PH525x
A List of Recommender Systems and Resources
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
The MNIST database of handwritten digits, available publicly, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
YSDA course in Natural Language Processing
Numpy exercises.
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.