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Data Version Control - Git for Data & Models - ML Experiments Management.
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Python library for experiment metrics logging into simply formatted local files.
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) - A bare-bones desktop nostr client using electron-react-boilerplate. The goal is to be an easy template for people to experiment with different ideas on decentralized ratings, reputation, and web of trust
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Python package which helps to debug machine learning classifiers and explain their predictions.
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Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
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Experiment tracking, ML developer tools.
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Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
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Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
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Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
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LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
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🏷️ Expose your Discord presence and activities to a RESTful API and WebSocket in less than 10 seconds
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Legcord is a custom client designed to enhance your Discord experience while keeping everything lightweight.
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Explaining the predictions of any machine learning classifier.
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Linux command reference with examples, explanations, flags, and practical command-line usage.
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LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
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Fast and easy data exploration by automating the visualization and data analysis process.
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Python tool used to download, extract, and apply date, time, and location metadata to Snapchat Memories when exporting them from the app.
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Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
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Open source ML model versioning, metadata, and experiment management.
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Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts.
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A completely unstable and experimental package that extends Torch's builtin nn library.