Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
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Updated
May 14, 2026 - Python
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
Massively Parallel Deep Reinforcement Learning. 🔥
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
A lightweight Python library for simulating Chinese handwriting
Selfhosted PDF manager, viewer and editor offering a seamless user experience on multiple devices.
Simiki is a simple wiki framework, written in Python.
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
High Performance Software-Defined Object Storage for Big Data and AI, that supports Amazon S3 and Openstack Swift
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically
100M parameter lightweight conversational text-to-speech model with breaths, laughter, multi-speaker dialogue, voice cloning, and streaming. Llama-based, on-device.
The official implementation of GTCRN, an ultra-lightweight SE model.
Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)
A light-weight, power efficient, and general purpose convolutional neural network
detect stages in video automatically
Decorator-first Python scheduler — cron/interval/at jobs with simple persistence and built-in run history.
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
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