All Questions
25 questions
4
votes
2
answers
149
views
Class for validating code in different Conda environments with PyTorch
I wrote the Validator class. In the project, the presented code is located at the path ".../validator/init.py". It is needed for testing code in different virtual Conda environments, in the ...
- 41
3
votes
1
answer
80
views
Follow up - Deep Learning Project for House Plant Identification on Kaggle Notebook
The code is based on feedback that I received from my previous question regarding this project.
I've developed the initial code for a deep learning project focused on identifying house plants within a ...
- 449
4
votes
2
answers
57
views
Kaggle Notebook for Identifying House Plants
I'm working on a personal deep learning project on identifying house plants. I have developed the initial code in Kaggle Notebook. I'll later transform it into a Flask app.
I have just finished the ...
- 449
2
votes
1
answer
75
views
I have a pytorch module that takes in some parameters and predicts the difference between one of it inputs and the target
One instance of the following module uses up to almost 75% of my vram. So, I was wondering how I could improve that without slowing down runtime too much. The code is below:
...
3
votes
2
answers
100
views
Video Frame-by-Frame Deraining with MFDNet
After checking the repository of MFDNet, single image rain streaks removal with the provided model is given in test.py. I am trying to modify the code to process frame-by-frame rain streaks removal in ...
- 7,076
6
votes
1
answer
110
views
Transformer based on pytorch nn.Transformer to predict protein secondary structure
I'm working on a transformer as my final project in high school. Since I'm kinda new to ML (3 months of experience), I need someone to check my implementation, if I made any mistakes or bugs that I ...
- 61
4
votes
1
answer
168
views
3
votes
1
answer
111
views
Pytorch code running slow for Deep Q learning (Reinforcement Learning)
I'm a new student in reinforcement learning. Below is the code that I wrote for deep Q learning:
...
2
votes
1
answer
48
views
One-layer linear neural network to solve a regression problem in PyTorch
Good morning everyone,
I am trying to figure out how deep learning works. My approach is mainly theoretical but I have decided to code a few deep learning projects to get a better feel of the kind of ...
1
vote
0
answers
71
views
Convolution to reduce popcorn noise in black and white video
I have a black & white video as a tensor with the shape [Time, Width, Height] with popcorn noise and I would like to reduce the noise by naively convolving along the time dimension.
Using a ...
- 1,599
3
votes
2
answers
167
views
Neural network that determines the gender of a word
I wrote a neural network in Python using PyTorch which determines the gender of a word in Russian. As a training set: a file containing a word and a number from 0 to 2 (0-masculine, 1-feminine and 2-...
user269440
2
votes
0
answers
101
views
Higher order derivatives with functorch
I'm computing higher order derivatives using nested jacobian from pytorch/functorch.
$$f(x, y, z, \dots) : R^{m_x} \times R^{m_y}...
- 121
1
vote
0
answers
172
views
Binary classification with pytorch
I wrote a simple neural network binary classification algorithm using Pytorch. It uses the dataset from https://www.kaggle.com/pritsheta/heart-attack, which consists of a table with 300 rows and 14 ...
- 163
1
vote
1
answer
650
views
Set min value of each row of a tensor to zero without using explicit loops
Here's the problem.
Return a copy of x, where the minimum value along each row has been
set to 0.
For example, if x is:
...
- 13
2
votes
1
answer
107
views
Loss function in python is a bit cumbersome
Here is a python function I have for a neural network I have implemented. I feel it become a bit cumbersome. The intention is to weight positive labels in channels ...
- 169