Training an InceptionV3-based image classifier with your own dataset

Train neural network for a car to drive in simulator

TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

ImageNet pre-trained models with batch normalization for the Caffe framework

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

A Tensorflow implementation of YOLOv3.

grocery store image classification with Keras

Domain Randomization Shape Detection

使用预训练语言模型BERT做中文NER

使用预训练语言模型ALBERT做中文NER

This repository contains the source code for the first and the second task of DeftEval 2020 competition, used by the University Politehnica of Bucharest (UPB) team to train and evaluate the models.

BERT based pretrained model using SQuAD 2.0 Dataset for Question-Answering

Fine-tune wav2vec2-xls-r on data from low-resource-languages

This application aims to classify real life photos of a cube game using deep learning algorithms based on a fine-tuned ResNet50. The script is deployed and accessible through a REST-ful web service.

Fine-tuned the pre-trained BERT model on the IMDB movie reviews dataset for sentiment analysis.

🚂 Fine-tune OpenAI models for text classification, question answering, and more

[Bachelor Graduation Project] Use Xception model for face anti-spoofing

A wrapper library for LeapAI's APIs to make integrating AI into your .NET apps a breeze

A repository consists of incremental learning algorithm such as LwF and iCaRL on CIFAR100 dataset on ResNet architecture.

Use FastSpeech2 and HiFi-GAN to easily perform end-to-end Korean speech synthesis.