π§ High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).
A lightweight emulation framework for emulating cryptographic algorithms in iOS executables and libraries.
π¦ Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas
SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
A CLI tool for translation algorithms based text humanization in order to bypass such AI-detectors as GPTZero, Turnitin and etc.
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Imitation learning algorithms
Multi-Objective Reinforcement Learning algorithms implementations.
The httplib2 caching algorithms packaged up for use with requests.
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Robotics vision SDK
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.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Gradient descent, but the parameters are agents β a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
Open Quantum Application Research Package
Strongly typed configurable building blocks for A/B testing ML research.
tiktok api algorithms generate x-ladon, x-argus, x-gorgon, x-khronos
Lightweight, GPU-accelerated reinforcement learning for Isaac Lab, mjlab, and Gymnasium.
[NeurIPS 2026] Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
Hillclimbing on verifiable rewards. Use Claude Code and Codex to autonomously search for python programs that optimize a score you define. ποΈ
Integer multiplication below n log n: a conditional witness kappa = 6685733/10^10 (> 2^-11) for T(n) = O(n (log n)^(1-kappa)) in the multitape model, building on OpenAI's problem and Colkitt's integer-mult-bounds: certificates, independent replays, Lean 4 checks