Showing 581-600 of 817 projects
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
This repository provides a technical introduction to common neural network architectures like feedforward, convolutional, and recurrent networks.
A TensorFlow implementation of the Diffusion Convolutional Recurrent Neural Network for spatiotemporal forecasting.
A highly accurate deep learning-based license plate detection and recognition system for real-time use.
An open-source platform for medical image analysis and image-guided therapy research using deep learning.
A collection of NLP tutorials covering sentiment analysis, text classification, and neural machine translation.
An open-source framework for building internet-scale neural networks with a focus on decentralization and AI tools.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
An OpenCL-based FPGA accelerator for convolutional neural networks, ideal for vibe coders working on hardware-accelerated deep learning projects.
A primitive C++ library for building neural networks, aimed at developers working with AI tools.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
An open-source library for learning continuous image representation using local implicit image function.
Supporting code for a short YouTube series on demystifying neural networks.
This is a library that explores using Fourier features to help neural networks learn high-frequency functions.
A collection of pre-trained computer vision models for developers building AI-powered applications.
This is a Lua library for building neural networks, a core component of deep learning frameworks.
Demo of in-browser Fast Neural Style Transfer with deeplearn.js library
A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.
A toolkit for time series machine learning and deep learning, focused on data-mining and forecasting.
Realtime head pose estimation using ONNX and OpenCV for computer vision and AI applications.
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