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neuralmagic/sparseml

SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.

2.1K
Experimental
Python
Automated Machine Learning
TensorFlow
#sparsification#sparseml#neural networks

dgryski/awesome-consensus

An awesome list of resources for building distributed consensus systems like Paxos and Raft.

2.1K
Archived
API Frameworks
CLI Tools
#consensus-algorithm#paxos#raft

dominikbraun/graph

A Go library for creating and manipulating generic graph data structures and visualizing them.

2.1K
Archived
Go
Data & Databases
API Frameworks
#algorithm#graph#graph-algorithms

Tanu-N-Prabhu/Python

This repository helps developers learn Python and Machine Learning from scratch.

2.1K
Active
Jupyter Notebook
Tutorials & Courses
Machine Learning Algorithms
#python#machine-learning#data-analysis

xinntao/Real-ESRGAN-ncnn-vulkan

An NCNN-based implementation of Real-ESRGAN, a practical algorithm for general image restoration and super-resolution.

2.0K
Archived
C
Computer Vision
Containerization
#image-restoration#super-resolution#gpu

jmfernandes/robin_stocks

A Python library for interacting with the Robinhood financial app, enabling crypto, options, and stock trading.

2.0K
Experimental
Python
API Frameworks
ORMs & Query Builders
#cryptocurrency#options-trading#quantitative-finance

B-Con/crypto-algorithms

Basic implementations of standard cryptography algorithms like AES and SHA-1.

2.0K
Archived
C
API Frameworks
Security Research
#cryptography#security#algorithms

sagemath/sage-archive-2023-02-01

This is an archived mirror of the Sage computer algebra system, a powerful open-source math and scientific computing library written in Python.

2.0K
Archived
Python
API Frameworks
Databases
#algorithms#computer-algebra#math

moj-analytical-services/splink

Fast, accurate, and scalable probabilistic data linkage with support for multiple SQL backends.

2.0K
Active
Python
Databases
ETL & Pipelines
Python
#data-matching#data-deduplication#entity-resolution

develsoftware/GMinerRelease

GPU miner for popular cryptocurrency algorithms like Ethash, ProgPoW, Equihash, and CuckooCycle.

2.0K
Experimental
Uncategorized
#mining#ethash#progpow

AstraZeneca/awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

2.0K
Archived
Graph Algorithms
Vector Databases
#explainable-ai#explainable-ml#graph

barter-rs/barter-rs

Open-source Rust framework for building event-driven live-trading & backtesting systems

2.0K
Active
Rust
API Frameworks
Databases
#algo-trading#algorithmic-trading#backtesting

ICT-BDA/EasyML

Easy Machine Learning is a dataflow-based system for simplifying the application of machine learning algorithms.

2.0K
Archived
Java
ML Ops
API Frameworks
Java
#machine-learning#dataflow#api

mike-marcacci/node-redlock

A Node.js implementation of the Redlock distributed locking algorithm for Redis.

2.0K
Stable
TypeScript
Realtime
Caching
Node
#redis#distributed-locking#concurrency-control

MojoJolo/textteaser

TextTeaser is an open-source automatic text summarization algorithm written in Scala.

2.0K
Archived
Scala
API Frameworks
LLM Frameworks
Scala
#text-summarization#natural-language-processing#open-source

StephenGrider/AlgoCasts

A collection of coding algorithm and data structure lessons and implementations in JavaScript.

2.0K
Archived
JavaScript
Tutorials & Courses
Backend Frameworks
React
#algorithms#data-structures#javascript

Classiq/classiq-library

Classiq Library is the largest open-source collection of quantum algorithms and applications for exploring quantum computing.

2.0K
Active
Jupyter Notebook
Quantum Computing
CLI Tools
#quantum-algorithms#quantum-applications#quantum-compiler

bcrypt-ruby/bcrypt-ruby

A Ruby library that provides a secure password hashing algorithm for user authentication.

2.0K
Active
C
Authentication
Security Research
#authentication#password-hashing#security

davda54/sam

SAM is a PyTorch-based library that implements Sharpness-Aware Minimization, an optimization algorithm for training more robust deep learning models.

2.0K
Archived
Python
ML Ops
Testing
PyTorch
#optimizer#pytorch#sam

endymecy/spark-ml-source-analysis

An open-source project that provides in-depth analysis of the source code and algorithms behind Spark's ML library.

2.0K
Archived
ML Ops
API Frameworks
#spark#machine-learning#source-code-analysis
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