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Material and note of the course of Applied ML in Python
A topic-centric list of HQ open datasets.
The 3rd edition of course.fast.ai
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Public facing notes page
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)
DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.
A guide to document clustering in Python
The fastai deep learning library, plus lessons and tutorials
A bit of extra usability for sqlalchemy.
Google Cloud tutorial and setup
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Ordinal regression algorithms
Resources for "Natural Language Processing" Coursera course.
This repository host code of my NLP playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP6zMkHMxFJV4yXIsET5aWlc
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
comparing stand up comedians using natural language processing
Notebooks using the Hugging Face libraries 🤗
Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library
Natural Language Processing (NLP) in Python tutorial given for PyCon 2020 remote conference.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Official Stanford NLP Python Library for Many Human Languages
Python implementation of the R stargazer multiple regression model creation tool
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
An Open Source Machine Learning Framework for Everyone
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.