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Type: User
Company: hrbust
Location: harbin
Type: User
Company: hrbust
Location: harbin
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
Implementation code for the paper "Generating Natural Language Adversarial Examples"
【NLP巴士】公众号文章配套代码
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
PyTorch tutorials demonstrating modern techniques with readable code
PRML algorithms implemented in Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
这是北京大学在coursera上开设的「程序设计与算法」专项课程
PyTorch Tutorial for Deep Learning Researchers
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
My own recommendation engine module built from scratch
Lectures on scientific computing with python, as IPython notebooks.
Python port of ShadowsocksR
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
VIP cheatsheets for Stanford's CS 229 Machine Learning
An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.
Must-read Papers on Textual Adversarial Attack and Defense
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Simple and ready-to-use tutorials for TensorFlow
TensorFlow Tutorials with YouTube Videos
Code for Tensorflow Machine Learning Cookbook
Implementation of papers for text classification task on DBpedia
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
🦄 State-of-the-Art Conversational AI with Transfer Learning
My projects/labs for Udacity Artificial Intelligence Nanodegree (April 2017 - present).
A repository of multiple projects and labs done in the Udacity Artificial Intelligence Nanodegree (aind).
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.