Xylambda

yt-dlp

A feature-rich command-line audio/video downloader

open-source-mac-os-apps

🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps

netron

Visualizer for neural network, deep learning and machine learning models

MonitorControl

🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.

hosts

🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.

math-as-code

a cheat-sheet for mathematical notation in code form

The-Complete-FAANG-Preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

whoogle-search

A self-hosted, ad-free, privacy-respecting metasearch engine

oni2

Native, lightweight modal code editor

featuretools

An open source python library for automated feature engineering

fsnotes

Notes manager for macOS/iOS

skorch

A scikit-learn compatible neural network library that wraps PyTorch

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

clamav

ClamAV - Documentation is here: https://docs.clamav.net

Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

mpire

A Python package for easy multiprocessing, but faster than multiprocessing

ruptures

ruptures: change point detection in Python

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

DALEX

moDel Agnostic Language for Exploration and eXplanation

Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

browser

The browser that fights for your privacy.

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

magicgui

build GUIs from type annotations

distfit

distfit is a python library for probability density fitting.

dufte

:chart_with_upwards_trend: Minimalistic Matplotlib style

starclass

Stellar Classification

cookiecutter-pyproject