vladUng's Stars
poole/hyde
A brazen two-column theme for Jekyll.
alfiopuglisi/guietta
bslatkin/effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
a1studmuffin/SpaceshipGenerator
A Blender script to procedurally generate 3D spaceships
NeuromatchAcademy/course-content
NMA Computational Neuroscience course
berenslab/rna-seq-tsne
The art of using t-SNE for single-cell transcriptomics
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
berndporr/limbic-system-map
A curated map of the limbic system (emotional system of the brain)
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
veeral-patel/awesome-risk-quantification
A collection of awesome projects, blog posts, books, and talks on quantifying risk
reneshbedre/bioinfokit
Bioinformatics data analysis and visualization toolkit
WillKoehrsen/Data-Analysis
Data Science Using Python
OpenRefine/OpenRefine
OpenRefine is a free, open source power tool for working with messy data and improving it
crossminer/crossminer
Developer-Centric Knowledge Mining from Large Open-Source Software Repositories
klasma/BaxterAlgorithms
Software for segmentation, tracking and analysis of cells in microscope image sequences.
tlemo/darwin
Evolutionary Algorithms Framework
hdeter/CellTracking
Python and ImageJ scripts designed to track single cells and analyze fluorescence
ismdeep/sort-algos-c
Sort Algorithm General Implementations in C Language
JesseKPhillips/USA-Constitution
A history of edits to the US Constitution as it has been amended. Written in markdown to match original formatting.
lsusman/stable-memory
OFTNAI/Spike
A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.
viraptor/reverse-interview
Questions to ask the company during your interview
guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
tensorflow/swift
Swift for TensorFlow
SpiNNakerManchester/sPyNNaker8
The PyNN 0.8 interface to sPyNNaker.
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
inducer/pyopencl
OpenCL integration for Python, plus shiny features
Shikhargupta/Spiking-Neural-Network
Pure python implementation of SNN
karan/Projects
:page_with_curl: A list of practical projects that anyone can solve in any programming language.