Stars
Zstandard - Fast real-time compression algorithm
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
QuestDB is a high performance, open-source, time-series database
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Lime: Explaining the predictions of any machine learning classifier
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Keras code and weights files for popular deep learning models.
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
🌠 Dark powered asynchronous completion framework for neovim/Vim8
A list of recent papers regarding deep reinforcement learning
Parallel t-SNE implementation with Python and Torch wrappers.
Python implementations of the Boruta all-relevant feature selection method.
Train a deep learning net with OpenStreetMap features and satellite imagery.
DeepLab-ResNet rebuilt in TensorFlow
Simple C++11 friendly header-only bindings to Lua
libbpg (copy of the source code for easy access)
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC …
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.