26 results found Sort:

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders,...
Created 2019-04-24
45 commits to master branch, last one 4 years ago
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Created 2018-09-04
82 commits to master branch, last one 5 months ago
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Created 2019-09-26
315 commits to master branch, last one 3 years ago
20
219
unknown
14
Network-to-Network Translation with Conditional Invertible Neural Networks
Created 2020-10-21
46 commits to master branch, last one 3 years ago
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Created 2019-05-29
78 commits to master branch, last one 3 years ago
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
Created 2021-11-03
18 commits to main branch, last one about a year ago
Compressive Autoencoder.
Created 2018-08-22
40 commits to master branch, last one 2 years ago
27
163
apache-2.0
8
Collection of operational time series ML models and tools
Created 2022-07-12
186 commits to main branch, last one a day ago
20
159
mit
12
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Created 2020-07-03
9 commits to master branch, last one 3 years ago
Deep Learning-based Clustering Approaches for Bioinformatics
Created 2019-08-16
53 commits to master branch, last one 3 years ago
19
117
mit
4
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily config...
Created 2020-04-16
1,533 commits to main branch, last one about a year ago
3
110
unknown
5
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
Created 2023-08-18
7 commits to main branch, last one 4 months ago
Language Quantized AutoEncoders
Created 2023-02-03
1 commits to main branch, last one about a year ago
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
Created 2018-10-16
84 commits to master branch, last one 4 years ago
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Created 2018-03-01
31 commits to master branch, last one 2 years ago
2
64
unknown
2
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
Created 2023-12-07
6 commits to main branch, last one 3 months ago
1
50
apache-2.0
5
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
Created 2021-12-05
29 commits to main branch, last one about a year ago
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
Created 2022-02-20
228 commits to main branch, last one about a month ago
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
Created 2021-05-19
25 commits to main branch, last one 2 years ago
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Created 2023-01-26
442 commits to main branch, last one 3 months ago
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Created 2021-07-03
6 commits to main branch, last one 2 years ago
This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure response...
Created 2022-08-26
17 commits to master branch, last one about a year ago
Machine Learning Course at IIT Bhilai
Created 2022-04-17
190 commits to main branch, last one 7 months ago