A CV toolkit for my papers.
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Dec 21, 2024 - Python
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batchnorm
Here are 35 public repositories matching this topic...
How to use Cross Replica / Synchronized Batchnorm in Pytorch
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May 13, 2019
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
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Nov 14, 2018 - Python
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
numpy svm pytorch lstm dropout gan style-transfer rnn image-captioning convolutional-neural-networks network-visualization knn cifar10 saliency-map batchnorm softmax-classifier cs231n-assignment fooling-images class-visualization coco-dataset
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Sep 5, 2018 - Jupyter Notebook
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). …
natural-language-processing translation tensorflow keras cnn lstm dropout speech-recognition yolo rnn face-recognition regularization autonomous-driving music-generation residual-networks hyperparameter-tuning adam batchnorm neural-style-transfer xavier-he-initialization
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Oct 3, 2018 - Jupyter Notebook
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
audio nlp swift deep-neural-networks deep-learning tensorflow optimizer cnn rnn callbacks augmentation batchnorm mixup ulmfit cyclegan-pytorch fastai-v3
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Jan 25, 2020 - Jupyter Notebook
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
deep-neural-networks computer-vision deep-learning batch-normalization deep-learning-algorithms imagenet resnet regularization convolutional-networks convolutional-neural-networks resnext pooling batchnorm imagenet-dataset efficient-inference resnets preact-resnet downsampling efficient-model cost-adjustable
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Nov 5, 2019 - Python
Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course
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Mar 3, 2024 - Jupyter Notebook
Unveiling the Layers: Neural Networks from first principles
python optimization dropout mnist neural-networks lenet logistic-regression convolutional-neural-networks batchnorm mlp-classifier dense-neural-network layernorm mlp-from-scratch
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Oct 1, 2025 - Jupyter Notebook
Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.
android macos ios dft neural-network watchos lstm gru rnn accelerate spectrogram audio-processing batchnorm dense conv1d nn-filters
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Oct 17, 2021 - C
Playground repository to highlight the problem of BatchNorm layers for an blog article
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Mar 9, 2022 - Python
MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
neural-network numpy mnist-classification digit-recognition backpropagation-algorithm batchnorm trained mnist-handwriting-recognition onlynumpy
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Jan 31, 2018 - Python
Code to fold batch norm layer of a DNN model in pytorch
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Mar 8, 2021 - Python
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. TL;DR: Fine-tuning only the batch norm affine parameters leads to similar performance as to fine-tuning all of the model parameters
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Apr 2, 2021 - Jupyter Notebook
Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.
deep-learning neural-network numpy optimizer cnn dropout rnn feedforward-neural-network pooling batchnorm university-assignment oops-in-python cross-entropy-loss activation-functions neural-networks-from-scratch
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Oct 27, 2024 - Python
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