✨ Writing about machine learning and deep learning content
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Updated
May 8, 2024 - HTML
✨ Writing about machine learning and deep learning content
Provides links for working with @firebase/messaging and typescript library to simplify integration with this deep package
extração de características em imagens utilizando Python
🚀 The Fast, Accurate, JavaScript Objects Diffing & Patching Library.
Main code of the Shareish platform (backend & frontend)
Low-code framework for building custom LLMs, neural networks, and other AI models
Graph deep learning library for materials
Merge objects/arrays declaratively
Properly update an error's properties
Explore our "LLM Tutorials" GitHub repository for comprehensive guides on using large language models (LLMs) like Llama 2 with PyTorch. Discover practical examples, code snippets, and expert insights to enhance your NLP projects with the latest techniques in language modeling.
GSCAN: Graph Stability Clustering using Edge-Aware Excess-of-Mass
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
multi-shot continuations in OCaml
deep learning
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Battery-friendly Pocket Mode At Kernel Level
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