6565 Open source projects that are alternatives of or similar to Knowledge Distillation Keras

Deep learning codes and projects using Python

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

CNN image classifier implemented in Keras Notebook 🖼️.

Best Practices, code samples, and documentation for Computer Vision.

Image Tampering Detection using ELA and CNN

Efficient Learning of Augmentation Policy Schedules

Object classification with CIFAR-10 using transfer learning

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Visualisations for Convolutional Neural Networks in Pytorch

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Keras implementation of a CNN network for age and gender estimation

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Breast Cancer Classification using CNN and transfer learning

Reducing the size of convolutional neural networks

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

🙄 Difficult algorithm, Simple code.

Code examples for training AlexNet using Keras and Theano

This toolbox is support material for the book on CNN (http://www.convolution.network).

Binary Convolution Network for faster real-time processing in ASICs

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

CNN 1D vs 2D audio classification

Generating Captions for images using Deep Learning

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

TensorFlow Implementation of state-of-the-art models since 2012

Deep Learning Food Classifier for iOS using Keras and Tensorflow

PyTorch tutorial for learners

Detecting cinema shot types using a ResNet-50

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

a collection of my notes on deep learning

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Text to Speech with PyTorch (English and Mongolian)

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Hiding Images within other images using Deep Learning

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Reproduce CheXNet

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Important paper implementations for Question Answering using PyTorch

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks