29 results found Sort:

serengil
tensorflow-101 serengil
637
1.1k
mit
48
TensorFlow 101: Introduction to Deep Learning
automl python facenet deepface openface vgg-face tensorflow autoencoders deep-learning age-prediction style-transfer neural-networks emotion-analysis face-recognition machine-learning gender-prediction transfer-learning celebrity-recognition convolutional-neural-networks facial-expression-recognition
Created 2017-07-05
482 commits to master branch, last one 5 months ago
curiousily
Deep-Learning-For-Hackers curiousily
440
1.0k
mit
36
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders,...
bert keras lstms python tensorflow autoencoders deep-learning neural-networks machine-learning object-detection anomaly-detection jupyter-notebooks image-augmentation intent-recognition sentiment-analysis tensorflow-tutorial artificial-intelligence time-series-forecasting time-series-classification
Created 2019-04-24
45 commits to master branch, last one 4 years ago
aapatel09
handson-unsupervised-learning aapatel09
324
651
unknown
45
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
clustering autoencoders deep-learning machine-learning anomaly-detection unsupervised-learning artificial-intelligence generative-adversarial-network
Created 2018-09-04
82 commits to master branch, last one 10 months ago
khanhnamle1994
MetaRec khanhnamle1994
78
300
unknown
6
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
wandb django cometml pytorch ranking tensorflow tensorboard autoencoders deep-learning meta-learning movielens-dataset boltzmann-machines recommender-systems matrix-factorization multilayer-perceptron collaborative-filtering
Created 2019-09-26
315 commits to master branch, last one 3 years ago
CompVis
net2net CompVis
21
223
unknown
14
Network-to-Network Translation with Conditional Invertible Neural Networks
inn gans pytorch lightning streamlit autoencoders generative-model normalizing-flows pytorch-lightning
Created 2020-10-21
46 commits to master branch, last one 3 years ago
pcko1
Deep-Drug-Coder pcko1
55
187
mit
4
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
molecules autoencoders denovo-design drug-discovery neural-network smiles-strings lstm-neural-networks
Created 2019-05-29
78 commits to master branch, last one 3 years ago
milaan9
Deep_Learning_Algorithms_from_Scratch milaan9
170
171
mit
2
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
rnn-pytorch autoencoders data-science deep-learning tutor-milaan9 neural-networks image-captioning image-processing object-detection linear-regression cnn-classification logistic-regression deep-learning-matlab deep-learning-python deep-learning-pytorch adversarial-machine-learning
Created 2021-11-03
18 commits to main branch, last one about a year ago
alexandru-dinu
cae alexandru-dinu
31
171
mit
7
Compressive Autoencoder.
autoencoders binarization lossy-image-compression
Created 2018-08-22
40 commits to master branch, last one 3 years ago
numaproj
numalogic numaproj
29
167
apache-2.0
8
Collection of operational time series ML models and tools
python time-series autoencoders deep-learning hacktoberfest machine-learning outlier-detection unsupervised-learning variational-autoencoder
Created 2022-07-12
196 commits to main branch, last one 2 months ago
cwkx
GON cwkx
20
161
mit
12
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
siren implicit networks autoencoders representation neural-networks machine-learning generative-models unsupervised-learning
Created 2020-07-03
9 commits to master branch, last one 3 years ago
FutureXiang
ddae FutureXiang
8
147
unknown
5
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
diffusion autoencoders classification diffusion-models generative-models self-supervised-learning
Created 2023-08-18
7 commits to main branch, last one 9 months ago
rezacsedu
Deep-Learning-for-Clustering-in-Bioinformatics rezacsedu
34
134
other
5
Deep Learning-based Clustering Approaches for Bioinformatics
autoencoders deep-learning bioinformatics neural-networks clustering-analysis lstm-neural-networks representation-learning variational-autoencoder convolutional-autoencoder
Created 2019-08-16
53 commits to master branch, last one 3 years ago
nmichlo
disent nmichlo
17
125
mit
5
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily config...
vae python metrics python3 pytorch datasets autoencoders configurable disentanglement metric-learning pytorch-lightning representation-learning disentangled-representations
Created 2020-04-16
1,533 commits to main branch, last one about a year ago
dr-costas
mad-twinnet dr-costas
26
111
other
9
The code for the MaD TwinNet. Demo page:
wav audio voice pytorch mad-twinnet autoencoders deeplearning deep-learning singing-voice twin-networks audio-processing source-separation deep-neural-networks denoising-autoencoders audio-signal-processing music-signal-processing music-source-separation recurrent-neural-networks music-information-retrieval
Created 2018-01-09
132 commits to master branch, last one 5 years ago
haoliuhl
language-quantized-autoencoders haoliuhl
5
93
unknown
1
Language Quantized AutoEncoders
vq bert vqvae roberta multimodal autoencoders large-language-models
Created 2023-02-03
1 commits to main branch, last one about a year ago
jbramburger
DataDrivenDynSyst jbramburger
12
86
mit
5
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
sindy time-delay autoencoder forecasting autoencoders data-science poincare-map kernel-methods neural-network sindy-algorithm machine-learning stroboscopic-map conservation-laws dynamical-systems physics-informed-learning autoencoder-neural-network dynamic-mode-decomposition universal-approximation-theorem physics-informed-neural-networks extended-dynamic-mode-decomposition
Created 2022-03-09
144 commits to main branch, last one 3 months ago
vmicheli
delta-iris vmicheli
9
84
gpl-3.0
3
Efficient World Models with Context-Aware Tokenization. ICML 2024
research autoencoders transformers world-models deep-learning machine-learning artificial-inteligence reinforcement-learning
Created 2024-05-29
7 commits to main branch, last one 2 months ago
FutureXiang
soda FutureXiang
4
78
unknown
2
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
diffusion autoencoders classification diffusion-models generative-models self-supervised-learning
Created 2023-12-07
6 commits to main branch, last one 8 months ago
timothyyu
wsae-lstm timothyyu
30
78
other
10
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
lstm financial wsae-lstm time-series autoencoders deep-learning machine-learning wavelet-transform stacked-autoencoder stock-price-prediction deep-learning-framework
Created 2018-10-16
84 commits to master branch, last one 5 years ago
hamaadshah
autoencoders_tensorflow hamaadshah
37
72
apache-2.0
1
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
keras python tensorflow autoencoder autoencoders deep-learning machine-learning bayesian-inference feature-extraction feature-engineering representation-learning
Created 2018-03-01
31 commits to master branch, last one 2 years ago
EthanJamesLew
AutoKoopman EthanJamesLew
9
59
gpl-3.0
5
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
sindy koopman autoencoders reachability deep-learning dynamical-systems koopman-operators data-driven-dynamics system-identification dynamic-mode-decomposition
Created 2022-02-20
228 commits to main branch, last one 7 months ago
AlexPasqua
Autoencoders AlexPasqua
3
51
gpl-3.0
3
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
autoencoders denoising-autoencoders randomized-autoencoders contractive-autonencoders convolutional-autoencoders
Created 2021-05-19
25 commits to main branch, last one 2 years ago
ImKeTT
CTG-latentAEs ImKeTT
1
49
apache-2.0
5
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
vae paperlist autoencoders text-generation generative-model latent-variable-models controllable-generation representation-learning variational-autoencoder natural-language-processing
Created 2021-12-05
29 commits to main branch, last one about a year ago
paucablop
chemotools paucablop
5
47
mit
3
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
python sklearn spectra autoencoders chemometrics scikit-learn spectroscopy deep-learning hacktoberfest ir-spectroscopy machine-learning nir-spectroscopy raman-spectroscopy multivariate-analysis artificial-intelligence
Created 2023-01-26
448 commits to main branch, last one 4 months ago
petrobras
WPRAutoencoders petrobras
7
42
apache-2.0
4
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...
clustering autoencoders data-science well-testing deep-learning machine-learning
Created 2022-08-26
17 commits to master branch, last one about a year ago
The-AI-Summer
Introduction-to-Deep-Learning-and-Neural-Networks-Course The-AI-Summer
22
41
unknown
3
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
ai pytorch autoencoders data-science transformers deep-learning machine-learning deep-neural-networks graph-neural-networks recurrent-neural-networks convolutional-neural-networks generative-adversarial-network
Created 2021-07-03
6 commits to main branch, last one 3 years ago
ValerianRey
fed_iot_guard ValerianRey
18
35
mit
4
Detection of IoT devices infected by malwares from their network communications, using federated machine learning
iot autoencoders malware-detection federated-learning adversarial-machine-learning multilayer-perceptron-network
Created 2021-01-15
245 commits to main branch, last one 7 months ago
gagan-iitb
CS550 gagan-iitb
44
34
mit
11
Machine Learning Course at IIT Bhilai
cnn gan rnn svm regression autoencoders classification decision-trees diffusion-models anomaly-detection supervised-learning dimensionality-reduction
Created 2022-04-17
190 commits to main branch, last one about a year ago
HROlive
Applications-of-AI-for-Anomaly-Detection HROlive
18
29
unknown
2
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
keras pandas python rapids xgboost notebook nvidia-gpu tensorflow autoencoders deep-learning machine-learning anomaly-detection generative-adversarial-network
Created 2023-03-01
25 commits to main branch, last one about a month ago