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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Finds accurate ML models automatically, efficiently and economically.
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Easy-to-use and flexible AutoML library for Python.
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This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
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Security research toolkit for extracting, transforming, and analyzing data during investigation workflows.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
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Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
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Fast and convenient feature processing for low latency machine learning in Go.
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Package for computer vision using OpenCV 4 and beyond.
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🔍 Chrome扩展，为安全研究和渗透测试提供Google/百度/Bing高级搜索语法快捷执行。一键Dorking、批量提取URL、智能过滤黑名单，大幅提升信息收集效率。 🔍 Chrome extension for security research and penetration testing. One-click advanced search (Dorking) on Google/Baidu/Bing, bulk URL extraction, smart blacklist filtering. Boost OSINT efficiency.
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"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
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GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
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GPU cluster manager for running and managing LLMs.
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A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
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Run LLM backends, APIs, frontends, and services with one command.
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Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Making large AI models cheaper, faster and more accessible.
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Library for hyperparameter optimization and black box optimization benchmarks.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
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Rails-like inflection library for Clojure and ClojureScript.
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A toolkit to help understand models and enable responsible machine learning.