Alternatives and similar repositories for Visualising-LSTM-Activations:

Users that are interested in Visualising-LSTM-Activations are comparing it to the libraries listed below

• PacktPublishing / Ensemble-Machine-Learning
  Code repository for Ensemble Machine Learning, published by Packt
  ☆47Updated 4 years ago
• luoyuanlab / text_gcn_tutorial
  A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
  ☆27Updated 4 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 4 years ago
• mtszkw / surface-crack
  Surface crack images classification using PyTorch Lightning
  ☆11Updated 4 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• igfox / multi-output-glucose-forecasting
  The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 201…
  ☆50Updated 3 years ago
• divamgupta / attention-translation-keras
  Attention based sequence to sequence neural machine translation model built in keras.
  ☆30Updated 6 years ago
• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆69Updated 5 years ago
• shz9 / csc2541-ml-project
  Modeling Uncertainty in RNNs for Time Series Forecasting
  ☆14Updated 7 years ago
• selimfirat / addml
  Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization
  ☆13Updated last year
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 3 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• gn-exp / gn-exp
  Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks
  ☆23Updated 5 years ago
• sumitsinha / Deep_Learning_for_Manufacturing
  Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
  ☆42Updated last year
• morganmcg1 / kaggle_rsna_2nd_place_solution
  Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
  ☆30Updated 4 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆45Updated 3 years ago
• naomifridman / Deep-VAE-prediction-of-churn-customer
  Variational deep autoencoder to predict churn customer
  ☆28Updated 6 years ago
• ivanpanshin / hist_cancer
  Histopathologic Cancer Detection model based on Kaggle Challenge https://www.kaggle.com/c/histopathologic-cancer-detection (top 1%)
  ☆11Updated 3 years ago
• larsbratholm / champs_kaggle
  Collection of code and data related to the CHAMPS kaggle competition
  ☆10Updated 2 years ago
• balavenkatesh3322 / hyperparameter_tuning
  A collection of Hyper parameter tuning library.
  ☆39Updated 4 years ago
• flawnson / Graph_convolutional_NN_molecule_maker
  A Graph Neural Network (Geometric machine learning) for molecular generation
  ☆20Updated 5 years ago
• mardani72 / Hyper-Parameter_optimization
  Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)
  ☆13Updated 4 years ago
• CyberZHG / keras-drop-block
  DropBlock implemented in Keras
  ☆26Updated 3 years ago
• gabrielloye / Attention_Seq2seq-Translation
  ☆35Updated 4 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 6 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago