- Mars
- bfbarry.github.io
Stars
Master programming by recreating your favorite technologies from scratch.
Understanding Deep Learning - Simon J.D. Prince
High-Performance Symbolic Regression in Python and Julia
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Literature Scanner: Automated collection & analyses of the scientific literature.
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
Cellular automata simulating sound wave
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
Commented (but unaltered) version of original word2vec C implementation.
📻 a Python repository for content-based recommendation based on Latent semantic analysis (LSA) topic distance and Rocchio Algorithm, see the implementation interactively on
A JSON representation of Webster's Unabridged Dictionary
COGS118C [Neural Signal Processing] @ UCSanDiego
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Evolve complex cellular automata with a genetic algorithm.
Python module for Simulated Annealing optimization
🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …
A template for small scientific python projects
A set of scripts to grab public datasets from resources related to arXiv
Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand and Rayan Saab (2020).
🍰 Compiling your code to an Ising Hamiltonian so you don't have to!
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
STUMPY is a powerful and scalable Python library for modern time series analysis
Jupyter Notebook Extension that assists with notebook cleaning
Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science
An opinionated list of awesome Python frameworks, libraries, software and resources.