sayakpaul / EvoNorms-in-TensorFlow-2
Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
☆11Updated 4 years ago
Alternatives and similar repositories for EvoNorms-in-TensorFlow-2:
Users that are interested in EvoNorms-in-TensorFlow-2 are comparing it to the libraries listed below
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- ☆15Updated 3 years ago
- 🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.☆12Updated 7 years ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago
- Simplifying parsing of large jsonline files in NLP Workflows☆12Updated 3 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- PyTorch implementation of GLOM☆21Updated 2 years ago
- ☆45Updated 5 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Updated 5 years ago
- This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0☆12Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆10Updated 5 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- ☆24Updated 10 months ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- Stats 479 Project☆22Updated 5 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 4 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 5 months ago
- Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).☆13Updated 4 years ago
- ☆42Updated 4 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 4 years ago
- A framework for implementing equivariant DL☆10Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago