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A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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DeepAA is a repository of convolutional neural networks that generate ASCII art. It is described as under construction and was accepted by the NIPS 2017 Workshop on Machine Learning for Creativity and Design. Users edit an image path in output.py, run the script with a grayscale line image, and converted images are output to output/.
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An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
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Deepchecks is an open-source project for validating machine learning models and data from research to production. It includes built-in and custom checks and suites for tabular, NLP and CV validation, CI and testing management, and monitoring of deployed models. Installation is via pip.
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deepface is a lightweight Python library for face recognition and facial attribute analysis. It supports analysis of age, gender, emotion, and race attributes from facial data. The project is hosted as an open source repository on GitHub.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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DeepSeek-VL2 is a mixture-of-experts vision-language model designed for advanced multimodal understanding. Its public GitHub repository provides documentation including an introduction, release information, model download resources, and a quick start guide.
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DevOpsGPT is a multi-agent system for AI-driven software development. It combines large language models with DevOps tools to convert natural language requirements into working software, supporting any development language and extending existing code.
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Diffusionbee Stable Diffusion UI is a GitHub-hosted project that provides a graphical user interface for running Stable Diffusion locally on macOS. It supports Intel and M1 Mac computers, includes a one-click installer, and requires no additional dependencies or technical knowledge to operate. It is listed under the AI & Machine Learning category focused on AI image generation.
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Dify is an open-source LLM app development platform with a visual canvas for AI workflows and RAG pipelines, plus model management and observability. It can be deployed on cloud, VPC, or self-hosted, and integrates with proprietary and open-source LLMs.
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dpnn is a package of deep extensions to the nn neural network library, providing extra modules and criterions beyond the main nn package. It includes modules such as Serial, Inception, ReverseTable, SpatialUniformCrop and SpatialGlimpse, plus modules and criterions for implementing the REINFORCE algorithm.
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Python library for scalable Bayesian optimisation.
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Reading Wikipedia to answer open-domain questions.
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DSSTNE is an open source library from Amazon for training and deploying recommendation models with sparse inputs, fully connected hidden layers and sparse outputs. It is designed for production deployment emphasizing speed and scale, and supports multi-GPU training and prediction. The repository was archived and is read-only.
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dstack is an open framework for confidential AI that runs containers inside confidential VMs with Intel TDX, using existing Docker Compose files. It supports attested workload identities and native NVIDIA Confidential Computing on H100 and Blackwell GPUs, with options for self-hosted TDX machines or Phala Cloud.
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High performance library for time series distances (DTW) and time series clustering.
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Design and Deploy Large Language Model Apps.
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An evolutionary optimization library.
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Entroly is a tool designed to reduce AI context costs. It performs reversible, byte-exact recoverable context reductions that include auditable receipts, operates in a local-first manner, and is compatible with proxy, MCP, SDK, and agent wrapper integrations.
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EQ-Bench 3 is a multi-turn emotional intelligence benchmark for language models. It presents role-play scenarios and analysis tasks requiring empathy, insight and social skill, and an auxiliary judge model scores or pairwise-compares the outputs. An MIT-licensed repository with a readme, results and data folders, it includes rubric scoring and pairwise ELO analysis options.
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Evidently is an open-source observability framework for machine learning and large language models, hosted on GitHub under the evidentlyai organization. It enables users to evaluate, test, and monitor AI-powered systems and data pipelines, with support for use cases ranging from tabular data processing to generative AI, and includes more than 100 built-in metrics.
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Exadel CompreFace is a free and open-source face recognition system hosted on a GitHub repository maintained by Exadel Inc. Its repository description positions it as a leading face recognition solution.
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face_recognition is a GitHub repository maintained by ageitgey that provides what is described as the world's simplest facial recognition API for Python and the command line. The repository includes documentation, installation requirements, and online demos for the tool.
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FastChat is an open platform for training, serving, and evaluating large language model based chatbots. Its core features include training and evaluation code for models such as Vicuna and MT-Bench, and a distributed multi-model serving system with a web UI and OpenAI-compatible RESTful APIs.