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Practical principles for building controllable LLM applications around deterministic software.
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MCP server for Todoist integration enabling natural language task management with Claude.
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A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
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Open-source implementation of Google Vizier for hyper parameters tuning.
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A framework for performing reproducible AI and ML for Weights and Biases.
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An Artificial Intelligence Automation Platform.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Easy way to turn any app into searchable data for LLMs.
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Open-source Python library enabling ML model inspection and interpretation.
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An open source Python library focused on outlier, adversarial and drift detection.
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Code and documentation to train Stanford's Alpaca models, and generate the data.
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Instruct-tune LLaMA on consumer hardware.
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Ambrosia helps you clean up your LLM datasets using other LLMs.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
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Turn long videos, YouTube, Twitch, Kick, or your own files into short clips (Shorts / Reels / TikTok) using only local tools: no cloud APIs, no sign-up. All processing runs on your machine.
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Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
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Curated list of automated machine learning papers, articles, tutorials, slides and projects.
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Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
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Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
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List of awesome compiler projects and papers for tensor computation and deep learning.
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A simple, but essential Bayesian optimization package, written in Python.