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ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)
Deploy AutoML as a service using Flask
:books: List of awesome university courses for learning Computer Science!
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Reinforcement learning resources curated
A curated list of recent models of text generation and application
This curated list contains python packages for time series analysis
How to do Bayesian statistical modelling using numpy and PyMC3
Beam-search with Language Model for CTC Decoding
TensorFlow code and pre-trained models for BERT
Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Collaborative filtering using Embedding Layers in Keras.
CS20 (Tensorflow) 정리
Code examples in pyTorch and Tensorflow for CS230
Deep Learning Specialization by Andrew Ng on Coursera.
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
List of papers, code and experiments using deep learning for time series forecasting
Open Source eBook for Deep Learning with TensorFlow 2.0+ version.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Analysis of flight delay data using logistic regression, random forest, and k-nearest neighbors classification
:books: Freely available programming books
starter from "How to Train a GAN?" at NIPS2016
In this project I implement the feature of auto-completion of sentences from articles, documentation and information files on various technological topics. In order to make the user experience of the Google search engine better. This project was done under the guidance of professional mentors and in collaboration with Google.
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
The hands-on NLTK tutorial for NLP in Python
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
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.