Showing 241-260 of 308 projects
A collection of pre-trained computer vision models for developers building AI-powered applications.
A toolkit for time series machine learning and deep learning, focused on data-mining and forecasting.
nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.
GoMLX is an accelerated machine learning framework for Go, enabling high-performance AI/ML development.
A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
A GitHub repository for Owl, a OCaml Scientific Computing framework
A comprehensive roadmap and resource collection for low-level programming and system programming.
Official repository for the Mish activation function, a novel neural network activation function.
A Pytorch-based RNN model for anomaly detection in time-series data.
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
A C++ library for running machine learning models on Arm hardware accelerators.
A collaborative deep learning review paper focused on genomics and precision medicine.
Fast and flexible human pose estimation library for computer vision applications
Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
A visualization toolbox for LSTM neural networks, useful for developers working with AI/ML models.
Forge is a neural network toolkit for Metal, enabling efficient deep learning on iOS devices.
A Python library for visualizing Artificial Neural Networks (ANNs) for vibe coders working with AI tools.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
SincNet is a neural architecture for efficiently processing raw audio samples for speech and audio processing tasks.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.
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