Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Models and examples built with TensorFlow
Python Data Science Handbook: full text in Jupyter Notebooks
Python best practices guidebook, written for humans.
A game theoretic approach to explain the output of any machine learning model.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Deep universal probabilistic programming with Python and PyTorch
Distributed Asynchronous Hyperparameter Optimization in Python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
📊 A simple command-line utility for querying and monitoring GPU status
Differentiable architecture search for convolutional and recurrent networks
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Keras Attention Layer (Luong and Bahdanau scores).
Sequential model-based optimization with a `scipy.optimize` interface
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
A list of deep learning implementations in biology
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Painlessly create beautiful matplotlib plots.
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Laroche…