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Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
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A Blurhash implementation in pure Go (Decode/Encode)
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Dev tool that writes scalable apps from scratch while the developer oversees the implementation.
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Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
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gtm-engineer-skills helps track or improve visibility in AI search, answer engines, and generative results.
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Implementation of the hdbscan algorithm in Python - used for clustering.
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hexagonTab is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
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Analyzes structured data and helps produce queries, insights or visualizations.
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JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
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Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
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Simple, concise implementations of machine learning techniques and utilities in Clojure.
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Modern columnar data format for ML implemented in Rust.
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Neural network inference from the command line, implemented in CHICKEN Scheme.
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Lazy Tabs is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
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A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
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Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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MaterialYouNewTab is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
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A TensorFlow implementation of the Mnemonic Descent Method.
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Medium Parser is an open source browser tool for improving tabs, bookmarks, extensions, or browsing workflows.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).