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Scalable and user friendly neural :brain: forecasting algorithms.

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

The core library of differential privacy algorithms powering the OpenDP Project.

All Algorithms implemented in Python

All Algorithms implemented in Java

A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM

Python sample codes and textbook for robotics algorithms.

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Silent Crypto Miner is an advanced cryptocurrency mining builder and runtime engine with multi-algorithm CPU/GPU support and intelligent resource management. Create custom mining executables with configurable algorithms, cross-platform output, real-time monitoring, session persistence, thermal throttling, scheduling, and hashrate optimization.

Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.

Commonly used sequence and collection algorithms for Swift

All Algorithms implemented in Rust

Algorithms for Privacy-Preserving Machine Learning in JAX

Async Algorithms for Swift

aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.

Minimal examples of data structures and algorithms in Python

:coffee: Symja - computer algebra language & symbolic math library. A collection of popular algorithms implemented in pure Java.

:gem:Collection of algorithms and data structures

PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc.

RGL is a framework for graph data structures and algorithms in Ruby.

Carrot2: Text Clustering Algorithms and Applications

Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.

Snowball compiler and stemming algorithms

The httplib2 caching algorithms packaged up for use with requests.

CodeForces Algorithms

Mathematica implementations of machine learning algorithms used for prediction and personalization.

oj! Algorithms