Stars
JupyterLab computational environment.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A neural network that transforms a design mock-up into a static website.
Summary, Code for Deep Neural Network Quantization
Integrating a Machine Learning Model into a Web app
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Python Data Science Handbook: full text in Jupyter Notebooks
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
NumPy aware dynamic Python compiler using LLVM
Efficiently computes derivatives of NumPy code.
All Algorithms implemented in Python
Rich is a Python library for rich text and beautiful formatting in the terminal.
Differentiable Programming Tensor Networks
PositionBasedDynamics is a library for the physically-based simulation of rigid bodies, deformable solids and fluids.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
Simulation of spiking neural networks (SNNs) using PyTorch.
Pure python implementation of SNN
Sequence-to-sequence model with LSTM encoder/decoders and attention
Negative Mass N-body Simulation Codes
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
The most cited deep learning papers
Weave - tools for including C/C++ code within Python code.