Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
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Updated
Jun 4, 2024 - Python
Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
Official repository for AAAI2024 paper <Unraveling Batch Normalization for Realistic Test-Time Adaptation>.
In this PJ I build a simple Conv2d network and implement some beneficial modifications based on it. Meanwhile, by researching into the BatchNorm algorithm, I verify its benefits on a variety of procedures.
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
Implementation of GoogLeNet series Algorithm
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
Avoiding the vanishing gradients problem by adding random noise and batch normalization
This is AI that generates Shakespeare alike text.
This is the implementation of neural network with few hidden layers. These implementation is inspired by the course I took on Coursera with deeplearning.ai.
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
[Official] ICML 2022 workshop: Dynamic Neural Networks, Oral Paper, "SUPERNET TRAINING FOR FEDERATED IMAGE CLASSIFICATION UNDER SYSTEM HETEROGENEITY"
Interesting python codes to tackle simple machine/deep learning tasks
This is the official repository of "Improving generalization of Batch Whitening by Convolutional Unit Optimization", ICCV 2021.
PyTorch implementation of batch normalization from "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift" by Sergey Ioffe, Christian Szegedy
Code for "Revisiting Batch Norm Initialization".
Educational deep learning library in plain Numpy.
Playground repository to highlight the problem of BatchNorm layers for an blog article
Set of VGG neural net models for TensorFlow. Weights converted from Pytorch.
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