7744 Open source projects that are alternatives of or similar to Keras_transfer_cifar10

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

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

3D image classification using CNN (Convolutional Neural Network)

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

Solution to Kaggle - Web Traffic Time Series Forecasting

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.

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

keras를 이용한 딥러닝 기초 학습

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Face identification with cnn+triplet-loss written by Keras.

The repository provides usefull python scripts for ML and data analysis

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Binary Convolution Network for faster real-time processing in ASICs

Collections of model quantization algorithms

Keras implementation of sketch inversion using deep convolution neural networks (synthesising photo-realistic images from pencil sketches)

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

The Official Deep Learning Framework for Route-based Place Recognition

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

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Diseases Detection from NIH Chest X-ray data

Image Captioning: Implementing the Neural Image Caption Generator with python

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

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

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

Text classification models. Used a submodule for other projects.

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Repo for Applied Text Mining in Python (coursera) by University of Michigan

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Port of Single Shot MultiBox Detector to Keras

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"

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Neural Paiters

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

CNN 1D vs 2D audio classification

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

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

Classification schemes for choropleth mapping.

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》)

Try to use tf.estimator and tf.data together to train a cnn model.

A Julia machine learning framework

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

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