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Awesome Sites to Test On is a GitHub repository or organization with source code, releases, documentation, or project resources.
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A GitHub wiki with notes and articles about software quality and software testing. It collects learning resources, books and courses in English and Russian, along with cheatsheets and material on tools, test runners, formal specification and other testing topics.
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Awesome Video is a curated list of streaming video tools, frameworks, libraries, and learning resources. It is hosted on GitHub and aims to collect valuable resources for developers working with video streaming technologies.
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A repository about Windows 11 settings, tweaks and scripts, aiming to show that Windows can be configured without third-party programs by learning a few simple tweaks. Its scripts are written in the standard PS1 language. It also links to apps, an FAQ and ISO images.
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Awesome YouTubers is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Awesome-Code-LLM is a curated list of code large language models for research, covering top code LLMs, evaluation toolkits, leaderboards and related papers. It also lists evaluation frameworks for autoregressive code generation models and a secure sandbox for judging generated code.
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Awesome-Gamedev is a GitHub repository or organization with source code, releases, documentation, or project resources.
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awesome-low-level-design is a GitHub repository or organization with source code, releases, documentation, or project resources.
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awesome-opensource-documents is a GitHub repository or organization with source code, releases, documentation, or project resources.
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awesome-system-design-resources is a GitHub repository or organization with source code, releases, documentation, or project resources.
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AwesomeAnimeResearch is a GitHub repository or organization with source code, releases, documentation, or project resources.
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BabyCommandAGI is a Python script system based on BabyAGI that is designed to test combining CLI and LLM interfaces, with the thinking part of BabyAGI greatly simplified to execute commands efficiently. The README warns that it may unintentionally destroy the environment, recommends running it in a virtual environment such as Docker, and recommends Claude 3.7 Sonnet or higher.
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Backend Cheats is a GitHub repository or organization with source code, releases, documentation, or project resources.
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backend-challenges is a GitHub repository or organization with source code, releases, documentation, or project resources.
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backendlore is a GitHub repository or organization with source code, releases, documentation, or project resources.
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BambooAI is an LLM-driven data analyst tool that operates in a persistent Python kernel. It is available as a web app with Docker-isolated execution, supports user-provided model keys, and is compatible with open weights models via provider or local deployment.
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BayesO is a Python framework for Bayesian optimization, described as a simple but essential Bayesian optimization package. It is installed via pip and is tested on Python 3.8 through 3.12. The repository includes documentation, examples and tests, and is released under the MIT License.
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BELLE, short for Be Everyone's Large Language model Engine, is an open-source Chinese conversational large language model hosted on GitHub by LianjiaTech. The project provides relevant training code and open datasets for the model.
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GPT Migrate team is working on adding for the agent.
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Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
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Birdland is a collaborative filtering recommendation library written in Go. It performs a random walk on a biased user-items bipartite graph to generate user-item pairs, which the recommender processes into recommended items. The project includes sampler and explorer components such as Bird, Emu and Weaver.
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bitnet.cpp is the official inference framework for 1-bit LLMs such as BitNet b1.58. It provides optimized kernels for inference of 1.58-bit models on CPU and GPU, with NPU support stated as coming next. The repository includes documentation and setup scripts, and the project is released under the MIT license.
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Accessible large language models via k-bit quantization for PyTorch.
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Blinky is an open-source AI debugging agent for VSCode that uses LLMs to help identify and fix backend code errors. It uses the VSCode API, Language Server Protocol and print statement debugging. Users describe a bug and repro steps in a chat interface, then accept or reject the agent's changes.