327 Open source projects that are alternatives of or similar to Transfer_learning_tutorial

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

源码实现：《TensorFlow实战》黄文坚，唐源 著

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Object classification with CIFAR-10 using transfer learning

CNN image classifier implemented in Keras Notebook 🖼️.

YoloV3 Implemented in Tensorflow 2.0

Improving Generalization via Scalable Neighborhood Component Analysis

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

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

kaggle Dog Breed Identification

ChatGirl is an AI ChatBot based on TensorFlow Seq2Seq Model. ChatGirl 一个基于 TensorFlow Seq2Seq 模型的聊天机器人。（包含预处理过的 twitter 英文数据集，训练，运行，工具代码，来波 Star 。）QQ群：167122861

Code for Learning to select data for transfer learning with Bayesian Optimization

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

中文ULMFiT 情感分析 文本分类

一些关于机器学习的学习资料与研究介绍

Transfer Learning library for Deep Neural Networks.

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

《迁移学习简明手册》LaTex源码

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

A tool for quickly training image classifiers in the browser

[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Complete-Life-Cycle-of-a-Data-Science-Project

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

Code for Sluice networks: Learning what to share between loosely related tasks

a sklearn wrapper for Google's BERT model

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Code for Stanford CS224D: deep learning for natural language understanding

Play MK.js with TensorFlow.js

Classify whether an image is of a Spiral or an Elliptical Galaxy using Transfer Learning (Tensorflow)

LASER multilingual sentence embeddings as a pip package

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Almost any Image classification problem using pytorch

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

A UI tool for quickly training image classifiers in the browser

Tensorflow 2.0 Tutorials

NLP Tensorflow Tutorials

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

这是我在小象学院课程《深度学习之TensorFlow高级编程》的课程代码

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Open Toolkit for Painless Object Detection

BERT Dureader多文档阅读理解 排名第七

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Building an image classifier using keras

Image classification for everyone.

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

Notebook for my medium article about how to use Dataset API in TensorFlow

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Bare bone examples of machine learning in TensorFlow

Towards deepfake detection that actually works

Facial Recognition Pipeline using Dlib and Tensorflow