Stars
An opinionated list of Python frameworks, libraries, tools, and resources
Models and examples built with TensorFlow
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
📊 A simple command-line utility for querying and monitoring GPU status
Differentiable architecture search for convolutional and recurrent networks
Keras Attention Layer (Luong and Bahdanau scores).
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
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…
Machine learning, statistics, and data mining for astronomy and astrophysics
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is…
Contains examples for the Movidius Neural Compute Stick.
Bayesian Python: Bayesian inference tools for Python
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.