Questions tagged [machine-learning]
Machine learning provides computer algorithms that automatically discover patterns in data and make intelligent decisions from them.
-4
votes
0answers
16 views
how to test input image from pre trained CNN model [closed]
i have saved my CNN model in .pth file. Using Pytorch. I want to predict input image from my .pth file .I m getting this error.
File "C:/Users/MS/PycharmProjects/GUI_last/test.py", line 148, in
...
1
vote
0answers
28 views
Modified and created a new python class for generating a report of metrics for machine learning
I initially posted a question on SO. I have come up with an answer for the same. Basically, given two dicts of models and parameters, user can create an object, and get the report in 5 steps.
...
5
votes
1answer
21 views
Simple SVM in MATLAB
I'm studying SVMs and wrote a demo in MATLAB (because I couldn't get a quadratic programming package to work correctly in Python). Right now it's simple and can only do linearly-separable cases (...
1
vote
0answers
77 views
Chess Agent using reinforcement learning with monte carlo tree search
I wanted to ask if this project is valid to state on a resume for entry-level python developer and if the code is presentable to say a job interviewer.
github link: full project
(If this is not the ...
2
votes
1answer
50 views
User-Interactive Data Cleaning Program in Python
I'm trying to develop a program in Python that allows the user to import datasets and perform operations on them using pandas and numpy so she/he can skip writing all the preprocessing code her/...
0
votes
1answer
35 views
A simple clusterness measure of data in one dimension using Java
Problem definition
Given \$X = (x_1, \dots, x_n)\$ such that \$x_1 \leq x_2 \leq \dots \leq x_n \$. Let \$x_{\min} = \min X = x_1\$, \$x_{\max} = \max X = x_n\$ and \$r = x_{\max} - x_{\min}\$. Also, ...
0
votes
1answer
70 views
Predicting credit card default
I have this code for predicting credit card default and it works perfectly, but I am checking here to see if anybody could make it more efficient or compact. It is pretty long though, but please bear ...
3
votes
0answers
54 views
A simple toy ResNet model and its implementation
I want to understand how resnet works also called us residual networks and I understand it better when I code one myself. I tried to find a simple implementation of resnet in the web but most I found ...
1
vote
0answers
35 views
Posterior collapses in an RNN variational auto-encoder - PyTorch
I am trying to implement and train an RNN variational auto-encoder as the one explained in "Generating Sentences from a Continuous Space". Although I apply their proposed techniques to mitigate ...
4
votes
1answer
49 views
Set of one-hot encoders in Python
In the absence of feature-complete and easy-to-use one-hot encoders in the Python ecosystem I've made a set of my own. This is intended to be a small library, so I want to make sure it's as clear and ...
1
vote
0answers
27 views
Custom Vector and Matrix classes in python for machine learning
I am creating a machine learning tool set from scratch in python. I have never done something of this kind and I don't usually use python but I thought it would be good to expand my horizons. I am ...
1
vote
0answers
63 views
Tensorflow model for predicting dice game decisions
For my first ML project I have modeled a dice game called Ten Thousand, or Farkle, depending on who you ask, as a vastly over-engineered solution to a computer player. You can find the complete game, ...
1
vote
0answers
41 views
Get stacked game state in NHWC format
After reading this, I decided to transition my DQN code from the keras library to tf.keras library (code is located in this repo) and my original code used NCHW format, as it was faster with GPUs. As ...
3
votes
0answers
259 views
Auto classification of my bank transactions
This is my first Machine Learning algorithm using Python and SkLearn. The code works, which is pretty awesome. I'm getting about 65-70% of accuracy after training it with about 4k rows of data.
...
5
votes
1answer
154 views
Reinforcement Learning for Flappy Bird in JavaScript
To give a bit of a background, I'm organizing a small session about reinforcement-learning, specifically Q-learning, to a group of high school students in the ...
2
votes
0answers
79 views
Simple Neural Network from scratch using NumPy (Python)
I added learning rate and momentum to a neural network implementation from scratch I found at: https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6
...
2
votes
0answers
78 views
Principal Component Analysis in Tensorflow
To learn the low-level API of Tensorflow I am trying to implement some traditional machine learning algorithms. The following Python script implements Principal Component Analysis using gradient ...
3
votes
1answer
685 views
k-means using numpy
This is k-means implementation using Python (numpy). I believe there is room for improvement when it comes to computing distances (given I'm using a list comprehension, maybe I could also pack it in a ...
2
votes
0answers
54 views
Simple linear regression of two variables
This is the code I built to implement a simple linear regression to check the impact of variable A on B. I am not interested in predicting that's why the statistical approach is important for me to ...
3
votes
1answer
194 views
BipedalWalker-v2 one-step actor-critic agent trains slow
I'm trying to solve the OpenAI BipedalWalker-v2 by using a one-step actor-critic agent. I'm implementing the solution using python and tensorflow. My question is whether the code is slow because of ...
7
votes
0answers
108 views
Seating Students (partitioning sort of)
The goal of this code is to seat students in a classroom based on a
single test score. We want students to be evenly distributed across
the class such that every student is positioned next to the ...
6
votes
1answer
74 views
Random Weighted Classifier in R
I am computing a random weighted classifier based on the rates at which 3 labels appear in a "train" set. I want to use this RWC as a baseline for other classifiers. I'm doing this over 1000 ...
6
votes
1answer
63 views
Simple neural network implementation in Python
A simple neural network I wrote in Python without libraries. I avoided implementing it in matrix form because I sought to get a basic understanding of the way NN's work first. For that reason I'm ...
2
votes
0answers
45 views
How to make my neural network train faster
I'm trying to train my neural network and for the most part it's going well. However, I'd like it if it could train faster and was wondering if anyone could give some advice.
I'm trying mostly to ...
6
votes
0answers
127 views
Python class for organizing images for machine learning
I built a class to help me handle image data to use in machine learning. I thought that there would be a pre-existing package that did what I wanted but I couldn't find it so I wrote this. I am not ...
2
votes
1answer
45 views
Basic Single Header statistics and ml libray for C++ - Scikit-Learn like implementation
I am developing scikit-learn like implementation for C++ it is in the initial stage while developing I've started doubt myself that is this the correct implementation, since here accuracy is more ...
1
vote
0answers
87 views
Neural Network Backpropagation
My neural network is buggy somewhere. However, the reason I am posting here and not Stack Overflow is because a buggy neural network can still be trained to some degree and will compile/perform better ...
9
votes
2answers
185 views
Univariate linear regression from scratch in Python
I am relatively new to machine learning and I believe one of the best ways for me to get the intuition behind most algorithms is to write them from scratch before using tons of external libraries.
...
2
votes
0answers
826 views
Logistic Regression using PyTorch
I want to get familiar with PyTorch and decided to implement a simple neural network that is essentially a logistic regression classifier to solve the Dogs vs. Cats problem.
I move 5000 random ...
1
vote
0answers
69 views
Predicting Disaster (Titanic)
Intro
I have started a new course (Analyzing Big Data with Microsoft R) and have an exam soon.
So I wanted to test my skills, and a nice way to do this was by doing a Kaggle competition Titanic: ...
4
votes
1answer
229 views
Naive Bayesian Algorithm in Python with cross-validation
I've wrote this code to evaluate a Machine Learning - the classification problem for digits recognition as in the figure below:
For more details and to check the whole code, check the GitHub ...
8
votes
1answer
536 views
Genetic algorithm for playing Tetris
Readme.md
Tetris
In my quest to building a Tetris game, where you can challenge an AI, I have created and trained an AI that plays Tetris all by himself. Github link I think the easiest way to run ...
1
vote
0answers
123 views
Simple Neural Network in C
A neural network is a structure of connections and nodes that takes input and generates an output. It can be "taught"(adjusting weights and biases of connections) from a teacher data set with ...
4
votes
0answers
311 views
Tic Tac Toe engine in Python for Deep Learning
I'm implementing a Tic Tac Toe engine that will work with deep learning. I'm using a 3x3 numpy array of floats to represent the board. +1.0 represents an X, ...
4
votes
0answers
230 views
Linear Regression in Tensorflow
I am a machine learning newbie and recently I implemented (or at least tried to implement) a linear regression model in tensorflow. I would love to know how I can improve my code:
...
5
votes
1answer
189 views
Linear Regression on random data
Wrote a simple script to implement Linear regression and practice numpy/pandas. Uses random data, so obviously weights (thetas) have no significant meaning. Looking for feedback on
Performance
Python ...
3
votes
2answers
81 views
Inefficient Regularized Logistic Regression with Numpy
I am a machine learning noob attempting to implement regularized logistic regression via Newton's method.
The example data have two features which are to be expanded to 28 through finding all ...
1
vote
0answers
102 views
Chainer - Python - Logistic Regression
I created a simple Logistic Regression model using Python and Chainer. I would like to optimize the code for which I like to get some help.
One restriction: interchanging the implemented ...
0
votes
1answer
149 views
Greedy adaptive dictionary (GAD) for supervised machine learning [closed]
For my project in machine learning supervised, I have to simplify a training-data and I have to use this technique at page 5 of the document.
Pseudocode algorithm
My code (numbers are the steps):
<...
3
votes
0answers
300 views
PCA, LDA and Logistic Regression
Based on the great blog by Joel Grus, I implemented LogisticRegression, PCA, and LDA. I'd appreciate feedback as I'm not sure that the logistic classifier is good enough (as it supposed to achieve ...
5
votes
1answer
224 views
Facial recognition tool
I created a small library and an example application in Python for learning about facial recognition and experimenting with it. Right now though, I am loading a list of file names into memory and then ...
5
votes
0answers
129 views
Deep learning CNN for image recognition using tensor flow
This algorithm is a convolutional deep neural network used for image recognition.
I used the MNIST data set, which is a bunch of images from 0 to 9. As of right now, I have trained this image with ...
3
votes
0answers
3k views
Code for Training a Handwriting Recognition Model
I just made my machine learning code work a few days ago and I would like to know if there's a way to improve my code.
Before I get to the implementation of the tasks at hand, I would like to ...
2
votes
0answers
605 views
Optimize GPU usage for real-time object detection from camera with TensorFlow GPU and OpenCV
Trying to recognize objects real time using TensorFlow Object Detection API OpenCV using ssd_mobilenet_v1_coco_11_06_2017 model in GPU.
...
1
vote
0answers
33 views
NER and its F Measure Calculation
I am trying to write one Name Entity Recognition in Hindi.
I have primarily used NLTK of Python.
I have used HMM Module with its supervised training.
The data is annotated and saved in .pos files ...
5
votes
0answers
161 views
Code for training machine learning linear regression and SVM
Ok , for my final year project I've wrote this piece of code to train my machine learning model on a this dataset , here the code i used
...
1
vote
0answers
300 views
Training MLP classifier with TensorFlow on notMNIST dataset
I am new to TensorFlow and I would really appreciate if someone could look at my code to see whether things are done efficiently and suggest improvements.
This code works okay and achieves around 91....
3
votes
0answers
221 views
Weighted logistic regression in Julia
I'm trying to estimate a weighted logistic regression as part of a bigger project. I have an implementation in Matlab2015b, but I wanted to give Julia a try to see if I could speed up the estimation ...
7
votes
1answer
742 views
Implementation of linear regression in Python
I wrote an implementation for multivariate linear regression in Python, for data in this link: http://www-bcf.usc.edu/~gareth/ISL/Advertising.csv
My main focus is to avoid loops as much as possible ...
3
votes
0answers
42 views
Sklearn: Regularized ridge regression for predicting fantasy football performance from several sources' projections
I've been working on trying to predict fantasy performance of players in this upcoming NFL season based on projections from several experts/sources. I trained the data on projections from last year ...
