970 Open source projects that are alternatives of or similar to Keras-Application-Zoo

A library for transfer learning by reusing parts of TensorFlow models.

CNN image classifier implemented in Keras Notebook 🖼️.

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Play MK.js with TensorFlow.js

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

Deep Learning Computer Vision Algorithms for Real-World Use

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

Image classification for everyone.

Almost any Image classification problem using pytorch

LASER multilingual sentence embeddings as a pip package

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Easily train or fine-tune SOTA computer vision models with one open source training library

AutoGluon: AutoML for Text, Image, and Tabular Data

dna2vec: Consistent vector representations of variable-length k-mers

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

Object classification with CIFAR-10 using transfer learning

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

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

🍊 🎑 Orange3 add-on for dealing with image related tasks

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

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Listing my favorite research papers 📝 from different fields as I read them.

Repository to identify Lego bricks automatically only using images

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Catalyst.Classification

An easy to use open-source library for advanced Deep Learning and Natural Language Processing

NSFW classify model implemented with tensorflow.

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Repository for Transfer Learning using Deep CNNs trained with synthetic images

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

Network Embedding Survey and Resources

No description or website provided.

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

AU_Recognition based on CKPlus/CK database

A Simple Deep Neural Network to classify images made with Keras

Classifying the Blur and Clear Images

Data Sets and Models for Evaluation of Lexical Semantic Change Detection

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

Allows you to use OpenAI Codex to fix errors in the command line.

Deep Learning framework with NVIDIA & AMD support

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

A collection of SOTA Image Classification Models in PyTorch

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

Simple and Distributed Machine Learning

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.