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Discover 182 open source projects
Showing 121-140 of 182 projects
yao8839836/text_gcn
A graph convolutional network for text classification, useful for NLP tasks and AI-powered applications.
tomepel/Technical_Book_DL
This repository provides a technical introduction to common neural network architectures like feedforward, convolutional, and recurrent networks.
liyaguang/DCRNN
A TensorFlow implementation of the Diffusion Convolutional Recurrent Neural Network for spatiotemporal forecasting.
NifTK/NiftyNet
An open-source platform for medical image analysis and image-guided therapy research using deep learning.
keyu-tian/SparK
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
doonny/PipeCNN
An OpenCL-based FPGA accelerator for convolutional neural networks, ideal for vibe coders working on hardware-accelerated deep learning projects.
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
marl/crepe
Pre-trained model for pitch estimation from audio, useful for music information retrieval tasks.
yinguobing/head-pose-estimation
Realtime head pose estimation using ONNX and OpenCV for computer vision and AI applications.
orobix/retina-unet
A Python library for segmenting retinal blood vessels using a convolutional neural network.
hurshd0/must-read-papers-for-ml
A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
CharlesShang/DCNv2
Deformable Convolutional Networks v2 with Pytorch for AI-powered development
d-li14/involution
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
szagoruyko/wide-residual-networks
This is a deep learning library for building wide residual networks, a type of convolutional neural network.
piiswrong/deep3d
Automatic 2D-to-3D video conversion tool using convolutional neural networks.
Newmu/Theano-Tutorials
A tutorial project for learning machine learning using the Theano library in Python.
benedekrozemberczki/CapsGNN
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
NVIDIA/partialconv
A new padding scheme for convolutional neural networks using partial convolution-based padding.
BishopFox/eyeballer
Convolutional neural network for analyzing pentest screenshots, useful for security researchers and penetration testers.
dair-ai/GNNs-Recipe
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
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