| abdulfatir/twitter-sentiment-analysis |
1,322 |
|
0 |
0 |
about 3 years ago |
0 |
|
20 |
mit |
Python |
| Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc. |
| xlvector/hector |
457 |
|
2 |
0 |
about 10 years ago |
1 |
March 25, 2016 |
8 |
mit |
Go |
| Golang machine learning lib |
| eecn/Hyperspectral-Classification |
309 |
|
0 |
0 |
almost 4 years ago |
0 |
|
6 |
other |
Python |
| Hyperspectral-Classification Pytorch |
| plotly/dash-svm |
141 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Python |
| Interactive SVM Explorer, using Dash and scikit-learn |
| dsgiitr/VisualML |
106 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
gpl-3.0 |
CSS |
| Interactive Visual Machine Learning Demos. |
| kalpishs/SMAI-stock-prediction |
74 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
|
Python |
| Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends of stock in near future. Prediction is done using Supervised Learning Methods. (SVM ,Neural network) |
| mahmoudnafifi/11K-Hands |
52 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
MATLAB |
| Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images. |
| kirk86/ImageRetrieval |
41 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
MATLAB |
| Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI) |
| vinay0410/Pedestrian_Detection |
36 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
gpl-3.0 |
Python |
| Detects Pedestrians in images using HOG as a feature extractor and SVM for classification |
| BenjaminDoran/Urban-Sound-Classification |
35 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers |
