eyalzk / telegradLinks
A Telegram bot to monitor and control deep learning experiments
☆232Updated 6 years ago
Alternatives and similar repositories for telegrad
Users that are interested in telegrad are comparing it to the libraries listed below
Sorting:
- A simplified framework and utilities for PyTorch☆577Updated 8 months ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 5 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆573Updated 3 years ago
- To Run, Manage and Visualize Large Scale Experiments☆172Updated 2 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 6 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 6 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- Mediterranean Machine Learning school tutorials☆93Updated 4 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆209Updated 2 years ago
- Unit Testing for pytorch, based on mltest☆312Updated 5 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- A fast way to turn your python function into a script☆164Updated 3 years ago
- A library make TensorBoard working in Colab Google☆147Updated 6 years ago
- A tiny Catalyst-like experiment runner framework on top of micrograd.☆51Updated 4 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 2 weeks ago
- An intuitive approach to creating deep learning models☆372Updated 3 years ago
- Python implementation of GLN in different frameworks☆96Updated 5 years ago
- Just another DL library☆183Updated 4 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Fit your tensorflow model using fastai and PyTorch☆90Updated 6 years ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆336Updated 4 years ago
- Build neural networks with less boilerplate code☆167Updated 2 years ago
- Minimalist project template for reproducible machine learning a la https://drivendata.github.io/cookiecutter-data-science/ and https://b…☆39Updated 7 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆219Updated 5 years ago
- ☆170Updated 7 years ago
- UI visual interface for fastai - now compatible with Google Colab☆249Updated 5 months ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆332Updated 3 years ago