nlp machine-learning reinforcement-learning deep-learning neural-network notebook tensorflow keras deep-reinforcement-learning cnn recurrent-neural-networks neural-networks autoencoder tensorflow-tutorials conv
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
pip install git+https://github.com/openai/sparse_autoencoder.git Code structure See sae-viewer to see the visualizer code, hosted publicly here. See model.py for details on the autoencoder model architecture. See paths.py for more details on the available autoencoders. NOTE: we also hope ...
https://github.com/JiaZhengJingXianSheng/AutoEncoder结果分析下面这张图是原本mnist数据集的图。在epochs = 1 情况下,在经过编码器编码,解码器恢复的结果为下图。因为DNN是有损失的,所以在恢复的过程中肯定是有部分信息丢失。但可以通过训练次数的提升,来减少信息丢失,下图为epochs = 50 情况下恢复出来的结果,...
AutoEncoder_main.py First Upload Dec 24, 2023 README.md Update README.md Jan 14, 2024 main.ipynb Make the file to Jupyter Notebook Dec 24, 2023 main_v1-2.ipynb Fix Two's Complement for Floating Point Jan 13, 2024 vsim.wlf added CLA module Jan 14, 2024 ...
Abstract:Autoencoder networks are unsupervised approaches aiming at combining generative and representational properties by learning simultaneously an encoder-generator map. Although studied extensively, the issues of whether they have the same generative power of GANs, or learn disentangled representations, ha...
Abstract:Autoencoder networks are unsupervised approaches aiming at combining generative and representational properties by learning simultaneously an encoder-generator map. Although studied extensively, the issues of whether they have the same generative power of GANs, or learn disentangled representations, ha...
Legendre-Latent-Space Regularisation ensures Toplogical Data-Structure Preservation under Autoencoder Compression - casus/autoencoder-regularisation
The package provides the source code used in the following scientific publication: [1] Automated matching of two-time X-ray photon correlation maps from protein dynamics with Cahn-Hilliard type simulations using autoencoder networks S. Timmermann, V. Starostin, A. Girelli, A. Ragulskaya, H. Rah...