Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Alpha Zero General | 3,497 | 6 months ago | 65 | mit | Jupyter Notebook | |||||
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more | ||||||||||
Pconv Keras | 868 | 2 years ago | 49 | mit | Jupyter Notebook | |||||
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai | ||||||||||
Hey Jetson | 189 | 9 months ago | gpl-3.0 | Jupyter Notebook | ||||||
Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson. | ||||||||||
Seq2seq_tutorial | 126 | 4 years ago | 11 | apache-2.0 | Jupyter Notebook | |||||
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models" | ||||||||||
Inpainting Gmcnn Keras | 87 | 2 years ago | 10 | mit | Python | |||||
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018 | ||||||||||
Deepstreet | 61 | 2 years ago | mit | Python | ||||||
Traffic Sign Recognition - Fine tuning VGG16 + GTSRB | ||||||||||
Intrusion Detection System Using Deep Learning | 60 | 5 years ago | Jupyter Notebook | |||||||
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset | ||||||||||
Keras Progressive_growing_of_gans | 58 | 6 years ago | 3 | mit | Python | |||||
Keras implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation. | ||||||||||
Kerastotensorrt | 55 | 6 years ago | 6 | Python | ||||||
This is a simple demonstration for running Keras model model on Tensorflow with TensorRT integration(TFTRT) or on TensorRT directly without invoking "freeze_graph.py". | ||||||||||
Nvidia Docker Keras | 54 | 3 years ago | 1 | apache-2.0 | Python | |||||
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs |