niksoc / earthquakeLinks
Earthquake prediction using LSTMs
☆9Updated 8 years ago
Alternatives and similar repositories for earthquake
Users that are interested in earthquake are comparing it to the libraries listed below
Sorting:
- Used Tensorflow for creating neural network and training it on earthquake dataset from Kaggle. It takes the date, latitude, longitude and…☆13Updated 7 years ago
- Visualising what each LSTM cell learns from data.☆24Updated 5 years ago
- Surface crack images classification using PyTorch Lightning☆11Updated 5 years ago
- ☆13Updated last year
- ☆9Updated 4 years ago
- Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)☆22Updated 4 years ago
- This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv alg…☆21Updated 4 years ago
- How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology☆17Updated 6 years ago
- Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].☆12Updated 8 months ago
- Regression in Convolutional Neural Network applied to Plant Leaf Count☆19Updated 2 years ago
- Image Classifier using Transfer Learning☆26Updated 7 years ago
- Abstractive Text Summarization with Transformer networks implemented (from scratch) using Keras and Tensorflow☆24Updated 4 years ago
- Identifying Skin Diseases with Deep Learning☆12Updated 7 years ago
- Learning Tensorflow Step by Step:: Concepts, Examples & Applications☆58Updated last week
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 years ago
- Wheat classification based on the provided dataset☆20Updated 3 years ago
- Building ResNet152 Model for Image Classification with Small Dataset (95% accuracy) | Tensorflow 2.0☆24Updated 3 years ago
- This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.☆13Updated 3 years ago
- ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-KerasWhat makes convnets so powerful at image classification?☆46Updated 7 years ago
- Feature Selection using Simulated Annealing☆11Updated 2 years ago
- Tutorials for using Tensorflow and Keras for NLP☆14Updated 7 years ago
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆71Updated 2 years ago
- Earthquake warning system using recurrent neural networks☆13Updated 7 years ago
- This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN☆25Updated 2 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with Keras and CoreML☆37Updated 4 years ago
- Example project showing how we can compare TensorFlow and TensorFlow Lite models☆26Updated 5 years ago
- Chatbot using Seq2Seq model and Attention☆16Updated 3 years ago
- Extreme Learning Machine(ELM): Python code☆43Updated 7 years ago
- Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detec…☆18Updated 5 years ago
- Identification of crop diseases and pests using Deep Learning framework from the images.☆26Updated 6 years ago