Highlights
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Stars
QuestDB is a high performance, open-source, time-series database
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Computer go engine using Monte-Carlo Tree Search (MCTS)
DeepLab-ResNet rebuilt in TensorFlow
🌠 Dark powered asynchronous completion framework for neovim/Vim8
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Parallel t-SNE implementation with Python and Torch wrappers.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Train a deep learning net with OpenStreetMap features and satellite imagery.
Keras code and weights files for popular deep learning models.
Zstandard - Fast real-time compression algorithm
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
MultiGPU enabled image generative models (GAN and DCGAN)
Lime: Explaining the predictions of any machine learning classifier
Python implementations of the Boruta all-relevant feature selection method.