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Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.

Coding Problems is a GitHub repository or organization with source code, releases, documentation, or project resources.

Data Engineering Practice Problems is a GitHub repository or organization with source code, releases, documentation, or project resources.

AutoGen

github.com

(Microsoft) — Multi-agent conversation framework. Agents collaborate, code, and debate to solve problems. CC-BY-4.0.

Cracking the Coding Interview problem solutions in Rust

Distributions

github.com

A Julia package for probability distributions and associated functions.

A fast and multi-purpose DNS toolkit from ProjectDiscovery for running DNS probes, resolving records and filtering DNS responses.

Figaro

github.com

A Scala library for constructing probabilistic models.

google/BIG-bench

github.com

"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".

Maze

github.com

Application-oriented deep reinforcement learning framework addressing real-world decision problems.

PGM

github.com

A Julia framework for probabilistic graphical models.

pgmpy

github.com

Python library for working with Probabilistic Graphical Models.

Multi-source subdomain enumeration tool querying crt.sh Certificate Transparency logs, HackerTarget, and RapidDNS. Features HTTP/HTTPS liveness probin

WFGY

github.com

Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.