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Library of ML-Engineering tools for rapid prototyping and experiment management.
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CatchTheTornado/text-extract-api is a GitHub repository for an open-source document extraction and parsing API. It supports PDF, Word, PPTX, and other document and image formats, uses modern OCR technology and Ollama-supported AI models, can anonymize documents and remove personally identifiable information (PII), and converts content to structured JSON or Markdown output.
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Cate is an infinite zoomable canvas for coding that places editor, terminal, and browser panels in a spatial workspace. It supports running agent CLIs in terminals, with panels shown on a canvas or dock and git worktrees for parallel branches.
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Catniff is a small deep learning framework for JavaScript built to be Torch-like and inspired by Tinygrad APIs. It is under development, and its APIs can be unstable and backwards-incompatible. It provides tensors, autograd and optimizers, and is installed through npm.
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C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Cerberus is a lightweight and extensible data validation library for Python. It provides type checking and other base functionality out of the box, is designed to be non-blocking and extensible for custom validation, and has no dependencies. It is available on PyPI and maintained according to semantic versioning since version 1.2.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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ML powered analytics engine for outlier/anomaly detection and root cause analysis.
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An awesome list of low- and no-code generative AI resources, organized into categories such as products and tools, prompt design, visual tools, writing, content, and learning materials. The repository holds a README and includes a CC0-1.0 license, a code of conduct, and contributing guidelines.
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ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.
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ChatGPT for Jupyter is a browser extension that provides AI-powered helper functions within Jupyter Notebooks, powered by ChatGPT. The extension is compatible with Chrome, Edge, and Firefox browsers, with its code and documentation hosted in a public GitHub repository under the TiesdeKok organization.
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ChatGPT Prompts for Data Science is a GitHub repository containing 60 useful prompts for data science tasks. It includes prompts for writing Python code, automatic machine learning, and other data science workflows.
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ChefBoost is a lightweight decision tree framework for Python. It supports standard algorithms including ID3, C4.5, CART, CHAID and regression trees, as well as advanced techniques such as gradient boosting, random forest and Adaboost, with support for categorical features.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A PyTorch based deep learning library for drug pair scoring.
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Web framework to create vertical AI agents. FastAPI based, plugin system inspired to WordPress, admin panel, vector DB included.
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Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Chunk Tuner is a tool that benchmarks chunking strategies for a RAG corpus and recommends a configuration. It benchmarks strategies such as fixed-token windows, recursive character splitting, semantic splitting and PDF structural chunking, scoring each against retrieval metrics. It is available as a Python library, a CLI and an MCP server.
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CKAN is an open-source data management system for creating and operating data hubs and portals. It enables organizations to publish, share, and use data. It powers government data sites such as data.gov, open.canada.ca, and humdata.org.
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cl-online-learning is a Common Lisp library collecting machine learning algorithms for online linear classification. It implements binary classifiers including Perceptron, AROW, SCW-I, logistic regression with SGD or ADAM, and FTRL-Proximal, plus multiclass approaches such as one-vs-rest, one-vs-one, multiclass AROW and softmax with FTRL-Proximal. Command line tools are provided as a roswell script, and the package is available from Quicklisp.
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Implementation of Random Forest in Common Lisp.
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Claude Engineer is an interactive command-line interface that uses Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. The framework lets Claude generate and manage its own tools, expanding its capabilities through conversation. It is available both as a CLI and a modern web interface.