529 Open source projects that are alternatives of or similar to Pytorch_classifiers

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

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…

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

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

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

Image classification for everyone.

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

Reference implementations of popular DL models missing from keras-applications & keras-contrib

CNN image classifier implemented in Keras Notebook 🖼️.

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

AutoGluon: AutoML for Text, Image, and Tabular Data

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

Building a Neural Network that classifies faces using OpenCV and Tensorflow

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

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

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

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

Repository to identify Lego bricks automatically only using images

Deep Learning Computer Vision Algorithms for Real-World Use

Object classification with CIFAR-10 using transfer learning

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

🙄 Difficult algorithm, Simple code.

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

🦄 State-of-the-Art Conversational AI with Transfer Learning

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Open Toolkit for Painless Object Detection

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

kaggle Dog Breed Identification

Test Time image Augmentation (TTA) wrapper for Keras model.

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

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Deep Learning Food Classifier for iOS using Keras and Tensorflow

Object Recognition using TensorFlow and Java

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

A tool for quickly training image classifiers in the browser

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》)

Library of transfer learners and domain-adaptive classifiers.

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

This Repository contains all tensorflow tutorials.

Image classification: efficientnet/resnest/seresnext/.....

AutoML frAmework for Neural Networks

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Deep Transfer Learning Papers

jiant is an NLP toolkit

Image Tampering Detection using ELA and CNN

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Deploying Keras models using TensorFlow Serving and Flask

Awesome Resources for Advanced Computer Vision Topics

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Applying NLP transfer learning techniques to predict Tweet stance

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks