Showing 481-500 of 1,001 projects
SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.
An awesome list of resources for building distributed consensus systems like Paxos and Raft.
A Go library for creating and manipulating generic graph data structures and visualizing them.
This repository helps developers learn Python and Machine Learning from scratch.
An NCNN-based implementation of Real-ESRGAN, a practical algorithm for general image restoration and super-resolution.
A Python library for interacting with the Robinhood financial app, enabling crypto, options, and stock trading.
Basic implementations of standard cryptography algorithms like AES and SHA-1.
This is an archived mirror of the Sage computer algebra system, a powerful open-source math and scientific computing library written in Python.
Fast, accurate, and scalable probabilistic data linkage with support for multiple SQL backends.
GPU miner for popular cryptocurrency algorithms like Ethash, ProgPoW, Equihash, and CuckooCycle.
A collection of research papers and software related to explainability in graph machine learning.
Open-source Rust framework for building event-driven live-trading & backtesting systems
Easy Machine Learning is a dataflow-based system for simplifying the application of machine learning algorithms.
A Node.js implementation of the Redlock distributed locking algorithm for Redis.
TextTeaser is an open-source automatic text summarization algorithm written in Scala.
A collection of coding algorithm and data structure lessons and implementations in JavaScript.
Classiq Library is the largest open-source collection of quantum algorithms and applications for exploring quantum computing.
A Ruby library that provides a secure password hashing algorithm for user authentication.
SAM is a PyTorch-based library that implements Sharpness-Aware Minimization, an optimization algorithm for training more robust deep learning models.
An open-source project that provides in-depth analysis of the source code and algorithms behind Spark's ML library.
Get weekly updates on trending AI coding tools and projects.