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snap-stanford/pretrain-gnns
Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.
PacktPublishing/Deep-Learning-with-Keras
This is a code repository for a book on Deep Learning with Keras, a popular Python library for building and training deep neural networks.
neurreps/awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.
maxpumperla/deep_learning_and_the_game_of_go
This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.
carpedm20/NTM-tensorflow
A TensorFlow implementation of Neural Turing Machines, a class of models that can learn algorithms.
huggingface/pytorch-pretrained-BigGAN
A PyTorch implementation of BigGAN with pretrained weights and conversion scripts for generative AI models.
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE, a graph neural network framework for machine learning.
TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve model performance and robustness.
asingh33/CNNGestureRecognizer
An open-source Python library for building gesture recognition models using Convolutional Neural Networks (CNN) and computer vision.
IBM/MAX-Image-Resolution-Enhancer
An AI-powered tool to upscale images by 4x while preserving photo-realistic details, built using TensorFlow.
MaybeShewill-CV/CRNN_Tensorflow
A TensorFlow-based CRNN model for scene text recognition, useful for vibe coders working on OCR and computer vision AI.
bighuang624/Andrew-Ng-Deep-Learning-notes
A collection of notes and code for the Andrew Ng Deep Learning course, useful for learning AI and ML concepts.
GANs-in-Action/gans-in-action
A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.
mert-kurttutan/torchview
torchview is a Python library for visualizing PyTorch models, helping developers understand and debug their neural networks.
jiachenzhu/DyT
DynamicTanh (DyT) is a Python library that enhances the performance of neural networks by introducing a novel activation function.
google-research/morph-net
A fast and simple tool for resource-constrained learning of deep network structure.
RexYing/gnn-model-explainer
An explainable GNN (Graph Neural Network) library for interpreting and understanding GNN models.
thunlp/NREPapers
A collection of must-read papers on neural relation extraction (NRE) for natural language processing researchers and engineers.
yashbhalgat/HashNeRF-pytorch
A pure PyTorch implementation of the NVIDIA paper on Instant Training of Neural Graphics Primitives.
microsoft/gated-graph-neural-network-samples
A sample code repository for Gated Graph Neural Networks, a type of graph neural network.
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