An open API service indexing awesome lists of open source software.

https://github.com/sethuiyer/mlhub

Machine Learning Experiments - Practical Learning
https://github.com/sethuiyer/mlhub

computer-vision learning machine-learning neural-network tidbits

Last synced: about 2 months ago
JSON representation

Machine Learning Experiments - Practical Learning

Awesome Lists containing this project

README

        


mlhub is a repository containing various tidbits of code related to Machine Learning / AI / Computer Vision/ Neural Networks. This repository can give ideas about Machine learning projects to work on for beginners.

Things Implemented as of now (Oldest to Newest):

| Project Name | Language used|
------------- |:-------------:|
| Linear Regression in Python using Theano | Python |
| Collaborative Filtering in C++ using mlpack | C++ |
| 3 Layer Feedforward Neural net in C++ using Armadillo | C++ |
| Simple Game bot using OpenAI's Gym and Universe | Python |
| Email Classification using command line utility of mlpack | Bash |
| Water the Flower Learning using Neuroevolution | Javascript |
| Using Deep net to classify the classic MNIST dataset. | Python |
| Deep Sentiment Analysis on IMDb dataset using TFLearn | Python |
| CIFAR 10 using Numpy | Python |
| Support Vector Regression using sklearn | Python |
|Neural Image Caption Generator | Python |
|Recurrent Neural net using Tensorflow | Python |
| Happy or Sad Webapp | Python |
| Finding successful projects | Python |
| Multi Emotion Detector | Python |
| WVGLAE Ensemble | Python |
| Pokemon Classification | Python |

*Licensed under [MIT License](https://github.com/sethuiyer/mlhub/blob/master/LICENSE.md)*