davidenunes / tensorflow-wheelsLinks
Tensorflow Wheels
☆135Updated 3 years ago
Alternatives and similar repositories for tensorflow-wheels
Users that are interested in tensorflow-wheels are comparing it to the libraries listed below
Sorting:
- Tricks for Colab power users☆168Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Repo for all files related to my Medium Posts☆90Updated 6 years ago
- TF 2.x and PyTorch Lightning Callbacks for GPU monitoring☆92Updated 5 years ago
- An automatic ML model optimization tool.☆199Updated 2 years ago
- Governance of the Keras API.☆144Updated 2 years ago
- Documentation autogeneration utilities.☆30Updated 2 years ago
- 🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.☆176Updated 8 months ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Easily evaluate machine learning models on public benchmarks☆171Updated last year
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆85Updated 3 years ago
- Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)☆136Updated last year
- TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training …☆172Updated 2 years ago
- A library make TensorBoard working in Colab Google☆147Updated 6 years ago
- Catalyst.Segmentation☆28Updated 3 years ago
- PyTorch model training and layer saturation monitor☆82Updated 2 years ago
- ☆54Updated 5 years ago
- A very small PyTorch container in Alpine Linux☆68Updated 7 years ago
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆98Updated 4 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- Large Model Support in Tensorflow☆202Updated 4 years ago
- A Pytorch Deep Dream Implementation☆88Updated 5 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆94Updated last year
- Convenient DL serving☆72Updated 3 years ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆88Updated 2 years ago
- Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers☆169Updated 3 years ago
- Configure Python functions explicitly and safely☆127Updated 9 months ago
- Implementation of Rectified Adam in Keras☆70Updated 6 years ago
- Process Google Dataset is a tool to download and process images for neural networks from a Google Image Search using a Chrome extension a…☆33Updated 3 years ago