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

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

TensorFlow Tutorials

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

tensorflow implementation of Grad-CAM (CNN visualization)

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Keras- Multi Label Image Classification

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Keras tutorial for beginners (using TF backend)

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Text to Speech with PyTorch (English and Mongolian)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

a collection of my notes on deep learning

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

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

猫狗大战

food image to recipe with deep convolutional neural networks.

Evaluation of the CNN design choices performance on ImageNet-2012.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

A photo OCR project aims to output DMS messages contained in sign structure images.

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Exploratory Project on Fast Screen Space Global Illumination

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

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.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

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

Binary Convolution Network for faster real-time processing in ASICs

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

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

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

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

CNN 1D vs 2D audio classification

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

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》)

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

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

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

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

Breast Cancer Classification using CNN and transfer learning

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.

Detecting cinema shot types using a ResNet-50

🙄 Difficult algorithm, Simple code.

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

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

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.

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

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Deep Learning Food Classifier for iOS using Keras and Tensorflow

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

A journey into Convolutional Neural Network visualization

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

PyTorch tutorial for learners

Reproduce CheXNet

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

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.