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Implementation of triplet loss in TensorFlow for embedding-based machine learning models.
Video classification tools using 3D ResNet for action recognition and computer vision tasks.
A curated list of NLP resources focused on Transformer networks, attention mechanism, and large language models.
R package for evaluating the quality and performance of statistical models in R.
A curated list of free data science and machine learning resources for developers.
Recipes to scale inference-time compute of open models for AI/ML developers.
An official implementation of facial landmark detection using the Deep High-Resolution Representation Learning (HRNet) approach.
A comprehensive knowledge hub for front-end development, covering HTML, CSS, and JavaScript.
A step-by-step guide for developers to learn DevOps practices and tools.
A powerful and extensible machine learning framework for hackers and AI enthusiasts, built in Rust.
Samples for Intel's oneAPI Toolkits, supporting a wide range of AI, HPC, and parallel computing use cases.
Neural Network Compression Framework for enhanced OpenVINOโข inference
A Python utility for hot-reloading code without losing state, useful for AI/ML development.
A JavaScript-based blockchain implementation for learning and experimentation purposes.
The simplest way to serve AI/ML models in production, with support for popular models like Stable Diffusion and Whisper.
This repository contains the book 'Machine Learning Yearning' by Andrew Ng, a renowned expert in machine learning.
An educational course for beginners to learn OpenCV using Python.
This GitHub repository contains notes for the Fastai Deep Learning Course, focused on deep learning and image recognition using Python and PyTorch.
Getting started tutorial on GitHub for developers interested in learning version control and collaboration.
A curated list of research papers on visual grounding, a key technique for multimodal AI.
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