Statistics and Machine Learning in Python

NVR with realtime local object detection for IP cameras

⭐ An awesome list that curates the best Flet libraries, tools, tutorials, articles and more.

Solutions for LeetCode problems in Python

In this repository, I will post my solutions to problems on algorithms and data structures. It is not necessary to use solutions for cheating, but you can study solutions for your familiarization.

Computations and statistics on manifolds with geometric structures.

A community based Python library for quantitative economics

Shōgun

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Open standard for machine learning interoperability

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Evolutionary algorithm toolbox and framework with high performance for Python

A python library for self-supervised learning on images.

A collection of infrastructure and tools for research in neural network interpretability.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Python package for causal inference using Bayesian structural time-series models.

portion, a Python library providing data structure and operations for intervals.

Automatic Differentiation for Python

script to automatically follow github accounts

A curated list of awesome AI tools for image processing, editing, enhancement, and more.

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Code repository associated with Learning Algorithms: A Programmer's Guide to Writing Better Code. https://oreil.ly/learn-algorithms

Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.

Solutions to various Project Euler problems implemented in different programming languages.

A collection of datasets originally distributed in R packages

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