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Polymarket Agents is a free, open-source Python framework to build AI agents that trade autonomously on Polymarket prediction markets. It integrates the Polymarket API, pulls data from news and bets, uses RAG for smart info retrieval, and offers LLM tools for strategies like spotting cheap YES/NO shares when their average cost dips below $1 for guaranteed profit. You benefit by automating emotion-free trades, capturing market inefficiencies instantly, and boosting returns without constant monitoring.
https://github.com/Polymarket/agents
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Bloom is a free, open-source tool that automates testing AI models for bad behaviors like bias or sycophancy. You define the behavior in a simple config file, add example chats if you want, and it runs four steps: understanding it, creating varied test scenarios, simulating talks with your target model (like Claude or GPT via APIs), and scoring results with metrics like how often the issue appears. View interactive transcripts easily. This saves you hours of manual work, lets you quickly compare models on fresh tests to avoid overfitting, and gives reliable, reproducible insights into AI safety—perfect for researchers building trustworthy systems.
https://github.com/safety-research/bloom
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This repository offers Anthropic's Claude Skills—folders with instructions, scripts, and resources that dynamically teach Claude specialized tasks like branded documents, data analysis, or workflows. Examples cover creative, technical, and enterprise uses; install via Claude Code, .ai, or API, or create your own with a simple SKILL.md template. You benefit by automating repetitive work, boosting productivity, ensuring consistent results, and capturing your team's knowledge for reliable, scalable AI performance.
https://github.com/anthropics/skills
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**Reachy Mini** is an open-source desktop robot, 11 inches tall and 3.3 lbs, with a 6-DoF expressive head, 360° body rotation, animated antennas, wide-angle camera, microphones, speaker, and Hugging Face AI integration for 1.7M+ models. Assemble in 2-3 hours as a kit; choose Lite (USB-powered) or Wireless (Raspberry Pi, battery). Use simple Python SDK for quick control, apps like conversation or hand-tracking, and simulation. **You benefit** by easily building, testing, and sharing AI robots at home or work, speeding up embodied AI experiments affordably.
https://github.com/pollen-robotics/reachy_mini
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Mini-SGLang is a compact, easy-to-read inference framework (~5,000 Python lines) that runs and serves large language models with high speed using optimizations like radix cache, chunked prefill, overlap scheduling, tensor parallelism, and FlashAttention/FlashInfer kernels. It’s CUDA-dependent, quick to install from source, and can launch an OpenAI-compatible API or interactive shell for single- or multi‑GPU serving, letting you test or deploy models (e.g., Qwen, Llama) with low latency and scalable throughput. Benefit: you get a transparent, modifiable engine to deploy fast, efficient LLM inference for development, benchmarking, or production use.
https://github.com/sgl-project/mini-sglang
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**ty** is a super-fast Python type checker and language server built in Rust by Astral (makers of uv and Ruff). It's 10-100x faster than mypy or Pyright, with rich error messages, IDE features like auto-complete and hover help, and support for big projects or partial typing. Try it via `uvx ty check`. This helps you catch bugs early, code faster with real-time feedback, and boost productivity in editors like VS Code.
https://github.com/astral-sh/ty
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You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.
https://github.com/zhu-xlab/GlobalBuildingAtlas
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cuTile Python is a new programming tool from NVIDIA that lets you write GPU programs in Python more easily and efficiently. It uses a tile-based model, where you work with chunks of data called tiles, making your code portable across different NVIDIA GPUs without needing to rewrite it for each hardware generation. cuTile automatically uses advanced GPU features like tensor cores and memory accelerators, so you get high performance without complex coding. You can install it via pip, and it requires CUDA Toolkit 13.1+ and Python 3.10+. This helps you develop faster, future-proof GPU applications with less effort.
https://github.com/NVIDIA/cutile-python
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Foundry is a toolkit that helps design new proteins using powerful AI models. It includes tools to generate protein structures (RFD3), predict how they fold (RF3), and design amino acid sequences that will form those structures (ProteinMPNN/LigandMPNN). All models work together using a common framework for handling molecular structures, making it easier to go from idea to designed protein. The benefit is that it gives a complete, flexible system to create custom proteins for research, medicine, or biotechnology, with clear instructions and examples to get started quickly.
https://github.com/RosettaCommons/foundry
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Claude Quickstarts offers ready-made projects that help you quickly build AI applications using the Claude API. You can create tools like a customer support agent, financial data analyst, computer control demo, or an autonomous coding agent by following simple setup steps and using your Claude API key. These projects come with clear instructions and can be customized to fit your needs, saving you time and effort in development. This helps you start building powerful AI apps faster and learn how to use Claude’s advanced features effectively. You also get access to helpful resources, community support, and opportunities to contribute improvements.
https://github.com/anthropics/claude-quickstarts
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VibeVoice is an open-source AI tool that creates natural-sounding, expressive audio with up to four different voices, perfect for making podcasts, audiobooks, or long conversations. It keeps each speaker’s voice consistent and handles smooth turn-taking, making the audio sound realistic and engaging. The tool can generate speech in English and Chinese, and even adds spontaneous emotion or singing. It’s free to use and helps creators produce high-quality audio quickly, but should be used responsibly to avoid misuse.
https://github.com/microsoft/VibeVoice
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The Social-Engineer Toolkit (SET) is an open-source penetration testing framework created by TrustedSec that helps security professionals test organizational defenses through social engineering attacks. SET provides pre-built attack vectors for phishing, credential harvesting, and website cloning, allowing testers to simulate realistic threats quickly and effectively. The toolkit runs on Linux and Mac OS X, with easy installation via pip or package managers. By using SET with proper authorization, security teams can identify human vulnerabilities in their defenses, understand how employees respond to social engineering tactics, and implement stronger security awareness training to protect against real-world attacks.
https://github.com/trustedsec/social-engineer-toolkit