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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Approaching (Almost) Any Machine Learning Problem
Official repo for the #tidytuesday project
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Script Buddy v2 is a film script text generation tool built using film scripts from the world's most popular film scripts and GPT2.
YSDA course in Natural Language Processing
A python tutorial on bayesian modeling techniques (PyMC3)
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A collection of various deep learning architectures, models, and tips
Tutorial on computational models of language change
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
curated collection of papers for the nlp practitioner 📖👩🔬
Natural Language Processing Tutorial for Deep Learning Researchers
this repository accompanies the book "Grokking Deep Learning"
Course notes for CS224N Winter17
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
A collection of machine learning examples and tutorials.
A command-line toolkit to extract text content and category data from Wikipedia dump files
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Turn repositories into Jupyter-enabled Docker images
Resources for "Natural Language Processing" Coursera course.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
ML-Ensemble – high performance ensemble learning
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.