Autonomous research system for measurable, computer-executable research.
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:sparkling_heart: High available distributed ip proxy pool, powerd by Scrapy and Redis
- high-availability
- scrapy
- ipproxy
- distributed
Edit Banana: A framework for converting statistical formats into editable.
Dshell is a network forensic analysis framework.
A TensorFlow implementation of DeepMind's WaveNet paper
The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.
- aws-security
- penetration-testing
- aws
- security
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Picard is a cross-platform music tagger powered by the MusicBrainz database
- python
- musicbrainz
- tagger
- audio
Denoising Diffusion Probabilistic Models
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
- ai
- ast
- claude-code
- code-analysis
A fast and reliable background task processing library for Python 3.
- python
- task-manager
- task-scheduler
- task-runner
Easily document cables and wiring harnesses.
- hardware
- wiring-diagram
- cables
- connectors
Superduper: End-to-end framework for building custom AI applications and agents.
- ai
- mlops
- torch
- transformers
:cookie: A full-featured, hackable tiling window manager written and configured in Python (X11 + Wayland)
- qtile
- window-manager
- python
- wayland-compositor
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
- ai
- chain-of-thought
- collaboration
- dataset-generation
Skill to give Claude Code (and any coding agent) the ability to generate beautiful and practical Excalidraw diagrams.
Probabilistic time series modeling in Python
- time-series
- deep-learning
- forecasting
- neural-networks
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
Open-Source Unified Vulnerability Management, DevSecOps & ASPM
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
- human-in-the-loop
- natural-language-processing
- mlops
- developer-tools
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
- action-recognition
- temporal-action-localization
- pytorch
- video-understanding
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering