Alternatives and similar repositories for livelossplot

Users that are interested in livelossplot are comparing it to the libraries listed below

• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,637Updated last year
• bckenstler / CLR
  ☆1,209Updated 5 years ago
• philipperemy / keract
  Layers Outputs and Gradients in Keras. Made easy.
  ☆1,053Updated 7 months ago
• sicara / tf-explain
  Interpretability Methods for tf.keras models with Tensorflow 2.x
  ☆1,035Updated last year
• AnswerDotAI / fastprogress
  Simple and flexible progress bar for Jupyter Notebook and console
  ☆1,100Updated last year
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆577Updated 6 months ago
• titu1994 / keras-one-cycle
  Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
  ☆287Updated 5 years ago
• ypeleg / HungaBunga
  HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
  ☆712Updated 5 years ago
• raghakot / keras-vis
  Neural network visualization toolkit for keras
  ☆2,997Updated 3 years ago
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆735Updated 3 years ago
• surmenok / keras_lr_finder
  Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
  ☆258Updated 5 months ago
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,875Updated last year
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆548Updated 2 years ago
• pytorchbearer / torchbearer
  torchbearer: A model fitting library for PyTorch
  ☆641Updated last year
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,176Updated 2 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆457Updated 4 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,912Updated last month
• sepandhaghighi / pycm
  Multi-class confusion matrix library in Python
  ☆1,487Updated this week
• Ahmkel / Keras-Project-Template
  A project template to simplify building and training deep learning models using Keras.
  ☆797Updated 3 years ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆573Updated 3 years ago
• guildai / guildai
  Experiment tracking, ML developer tools
  ☆888Updated 6 months ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆809Updated 3 years ago
• huggingface / knockknock
  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
  ☆2,817Updated 2 years ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆590Updated 2 years ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,131Updated 3 weeks ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 6 months ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,342Updated 3 weeks ago
• dvgodoy / deepreplay
  Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
  ☆280Updated 2 years ago
• davidtvs / pytorch-lr-finder
  A learning rate range test implementation in PyTorch
  ☆989Updated 4 months ago