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Homework draft and final (2017)
Machine Learning: From Theory to Practise
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
:octocat: Interactive way to learn Algorithms . Feel free to contribute! :mortar_board:
Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Learn applied deep learning from zero to deployment using TensorFlow 1.8+
Notebooks about Bayesian methods for machine learning
A Python implementation of global optimization with gaussian processes.
Bayesian method library for Python
Homepage for STAT 157 at UC Berkeley
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
BERT NER of pytorch editon, including ERNIE implementation.
Controlling Argument Generation via topic, stance, and aspect
A Code-First Introduction to NLP course
The 3rd edition of course.fast.ai
Assignments submitted for the Certification in Quantitative Finance (CQF) 2016
The CQF program
Homework Assignments for CS 181.
Deep Learning for NLP
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
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.