Showing 221-240 of 308 projects
A Python library for efficient and scalable data streaming for neural network training on PyTorch.
Slides and Jupyter notebooks for deep learning lectures at a Master's program in data science.
A Python library for computations and statistics on manifolds with geometric structures, useful for AI/ML developers.
This repository provides a collection of PyTorch tutorials, examples, and related books for developers interested in deep learning and AI.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
A comprehensive collection of resources for learning machine learning in Russian.
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
Python programming assignments for Andrew Ng's Coursera Machine Learning course
A curated list of Machine Learning, AI, and NLP solutions for iOS development.
Knet.jl is a deep learning framework for the Julia programming language, focused on research and scientific computing.
A research framework for easy and efficient training of Generative Adversarial Networks (GANs) based on PyTorch.
A collection of concise and beautiful algorithms written in the Julia programming language.
A library that provides seamless model explainability for transformers models in just 2 lines of code.
Code for the Lovรกsz-Softmax loss, a loss function for image segmentation using neural networks.
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
A collection of small projects related to Neural Networks and Deep Learning with a focus on computer vision.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
An open-source platform for medical image analysis and image-guided therapy research using deep learning.
An open-source framework for building internet-scale neural networks with a focus on decentralization and AI tools.
A primitive C++ library for building neural networks, aimed at developers working with AI tools.
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