Here are
113 public repositories
matching this topic...
Build your neural network easy and fast
Updated
Jun 8, 2020
Jupyter Notebook
ImageNet pre-trained models with batch normalization for the Caffe framework
Updated
Nov 26, 2017
Python
Implementations of CNNs, RNNs and deep learning techniques in pure Numpy
Updated
May 16, 2020
Python
Adaptive Affinity Fields for Semantic Segmentation
Updated
Sep 20, 2018
Python
Synchronized Multi-GPU Batch Normalization
Updated
May 2, 2019
Python
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Updated
Jul 26, 2018
Python
Batch normalization fusion for PyTorch
Updated
Apr 6, 2020
Python
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Updated
Jul 1, 2020
Jupyter Notebook
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
Updated
Aug 7, 2017
Python
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
Updated
May 12, 2017
Python
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq and CITE-seq).
Using slim to perform batch normalization
Updated
Dec 20, 2018
Python
My workshop on machine learning using python language to implement different algorithms
Updated
Jan 24, 2020
Jupyter Notebook
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
Updated
Jan 20, 2017
Python
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Updated
Apr 16, 2018
Python
Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
Updated
Oct 14, 2019
Python
Unofficial Keras implementation of the paper Attentive Normalization.
Updated
Feb 12, 2020
Jupyter Notebook
Win probability predictions for League of Legends matches using neural networks
Updated
Jul 18, 2020
Python
Interesting python codes to tackle simple machine/deep learning tasks
Updated
Nov 12, 2019
Python
Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
Updated
Jun 1, 2018
Jupyter Notebook
Updated
Aug 21, 2020
Jupyter Notebook
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Updated
Nov 5, 2019
Python
Conditional Batch Normalization Pytorch Implementation
Updated
May 17, 2018
Python
Short description for quick search
Updated
Jan 31, 2019
Python
Updated
Nov 22, 2018
Python
Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers
Updated
May 21, 2019
Python
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
Coursera - Deep Learning Specialization - deeplearning.ai
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Updated
Oct 27, 2017
Python
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