dalabis

Pinned Repositories

border_detection
Language:Jupyter Notebook00
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Language:Python00
HomeWorks
http://hwproj.me/courses/34
Language:C#00
Parser
Language:Python00
Pytorch-CornerNet
Minimal PyTorch implementation of CornerNet
Language:Python00
RATAN-600
RATAN-600 signal processing
Language:Python00
S-C_method_SIvlfP
Self-consistent (S-C) method for solution of an inverse VLF problem (SIvlfP) in non-stationary radio path conditions
Language:MATLAB00
SpeechRecognition
Language:Python01
tensorflow_kaggle_house_price
[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow
Language:Python00
VAE_1
For tutorials and experiments
Language:Jupyter Notebook00

dalabis's Repositories

dalabis/Parser
Language:Python
dalabis/VAE_1
For tutorials and experiments
Language:Jupyter Notebook
dalabis/border_detection
Language:Jupyter Notebook
dalabis/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
dalabis/RATAN-600
RATAN-600 signal processing
Language:Python
dalabis/S-C_method_SIvlfP
Self-consistent (S-C) method for solution of an inverse VLF problem (SIvlfP) in non-stationary radio path conditions
Language:MATLAB
dalabis/Pytorch-CornerNet
Minimal PyTorch implementation of CornerNet
dalabis/VK_Mini_Apps
Language:JavaScript
dalabis/SpeechRecognition
Language:Python1
dalabis/HomeWorks
http://hwproj.me/courses/34
Language:C#
dalabis/tensorflow_kaggle_house_price
[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow