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Lightweight analytics reporting and publishing tool for Digital Analytics Program's Google Analytics 360 data.
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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Platform for Production Data Science.
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Scripts to generate a dataset with static frames from the Arcade Learning Environment.
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Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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AI Native database for embedding vectors.
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) - A fast web client boilerplate written in C# / Blazor, that uses an in-browser SQLite database.
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) - An efficient, scalable, and deduplicated local blob storage that maintains metadata in SQLite. Fully compatible with Blossom, it gives developers a reliable database option for building their own Blossom servers.
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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bulk-downloader-for-reddit helps export or download comments, posts, media, or discussion data from online platforms.
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An easy-to-use feature store. Optimized for time-series data.
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Chiasmodon is an OSINT tool designed to assist in the process of gathering information about a target domain. Its primary functionality revolves around searching for domain-related data, including domain emails, domain credentials, CIDRs , ASNs , and subdomains, the tool also allows users to search Google Play application ID.
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Basic functions for clustering data: k-means, dp-means, etc.
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A curated list of language modeling researches for code and related datasets.
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Open source OSINT tool for collecting public information from phone numbers and related online identifiers.
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Track your datasets, code changes, experimentation history, and models.
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A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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Open source web crawler built for extracting clean website data for AI and LLM workflows.
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A data orchestrator for machine learning, analytics, and ETL.
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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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Dataframes for machine-learning and statistics (similar to pandas).
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LinkedIn's generalized metadata search & discovery tool.