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
  ☆48Updated 4 years ago
• gunchagarg / learning-rate-techniques-keras
  Exploring learning rates to improve model performance
  ☆19Updated 5 years ago
• mjDelta / attention-mechanism-keras
  attention mechanism in keras, like Dense and RNN...
  ☆20Updated 7 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• chizhu / kaggle-petfinder-adoption-prediction-10th-solution
  kaggle-petfinder-adoption-prediction-10th-solution 10/2023
  ☆13Updated 6 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• selimfirat / addml
  Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization
  ☆12Updated 2 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 4 years ago
• dataplayer12 / swish-activation
  Repo for my blogs explaining swish activation function
  ☆13Updated 7 years ago
• divamgupta / attention-translation-keras
  Attention based sequence to sequence neural machine translation model built in keras.
  ☆30Updated 7 years ago
• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆69Updated 5 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆24Updated 4 years ago
• aviolante / sas-python-work
  ☆74Updated 4 years ago
• xuanzebi / Attention
  一些不同的Attention机制代码
  ☆20Updated 5 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 3 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 4 years ago
• titu1994 / tf_neural_deconvolution
  Neural Deconvolutions in Tensorflow
  ☆12Updated 5 years ago
• LeviBorodenko / garnn
  TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.
  ☆27Updated 5 years ago
• Ximilar-com / tf-metric-learning
  Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
  ☆37Updated 2 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• wolfecameron / optimizers
  implements various optimizers from scratch for analysis and comparison
  ☆9Updated 5 years ago
• Tony607 / Keras_BayesianOptimization
  How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology
  ☆17Updated 6 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• Vettejeep / MSDS696-Masters-Final-Project
  Earthquake Prediction Challenge with LightGBM and XGBoost
  ☆68Updated 5 years ago