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A curated list of awesome frameworks, libraries and software for the Java programming language.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Probabilistic reasoning and statistical analysis in TensorFlow
Python Implementation of Reinforcement Learning: An Introduction
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
Stanford Machine Learning course exercises implemented with scikit-learn
materials for General Assembly Data Science DC course
Materials for my scikit-learn tutorial
An introduction to data science using Python and Pandas with Jupyter notebooks
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A toolkit for developing and comparing reinforcement learning algorithms.
Make huge neural nets fit in memory
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Course notes for CS224N Winter17
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Lucene based secondary indexes for Cassandra
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Super Resolution for images using deep learning.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch