Rishit-dagli / Gradient-Centralization-TensorFlowLinks
Instantly improve your training performance of TensorFlow models with just 2 lines of code!
☆106Updated 3 years ago
Alternatives and similar repositories for Gradient-Centralization-TensorFlow
Users that are interested in Gradient-Centralization-TensorFlow are comparing it to the libraries listed below
Sorting:
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 4 years ago
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 4 years ago
- Automatically upload the model saved as W&B Artifact to Kaggle Dataset.☆23Updated 3 years ago
- chaii: hindi and tamil question answering☆35Updated 3 years ago
- TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.☆85Updated this week
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Helpful data preprocessing, training, and visualisation code and scripts for a range of Kaggle competitions, supported by Weights & Biase…☆15Updated 2 years ago
- A Simple but Powerful CNN Trainer For PyTorch☆26Updated 4 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago
- Serving PyTorch models with TorchServe☆101Updated 2 years ago
- Machine Learning / Deep Learning Environment. Everywhere. Anywhere.☆51Updated 4 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago
- ☆24Updated 2 years ago
- Deep Learning Paper Implementations in PyTorch☆17Updated 2 months ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 3 years ago
- Cyclemoid implementation for PyTorch☆89Updated 3 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆227Updated last month
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆84Updated 3 years ago
- Contains the slides and hands-on tutorials showcasing adversarial learning on convolutional neural networks to build robust vision models☆17Updated 4 years ago
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training …☆165Updated 2 years ago
- A simple app to send messages to Slack channels / members using webhook☆55Updated 2 years ago
- Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.☆52Updated 5 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 4 years ago
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)☆136Updated last year
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the op…☆32Updated 4 years ago