225 Open source projects that are alternatives of or similar to tradaboost

A sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Genre Classification using Convolutional Neural Networks

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

This repository is for the transfer learning or domain adaptive with fault diagnosis.

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

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

AU_Recognition based on CKPlus/CK database

No description or website provided.

Demo code for Attention-Aware Generative Adversarial Networks paper

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

A place to keep track of all the annotated papers.

Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

Multiclass image classification using Convolutional Neural Network

Repository for Transfer Learning using Deep CNNs trained with synthetic images

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

No description or website provided.

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

Awesome Graph Self-Supervised Learning

Inception V3 for Transfer Learning on Cats and Dogs

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

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Tensorflow Implementation of open set domain adaptation by backpropagation

Adapt Transformer-based language models to new text domains

Persian Bert For Long-Range Sequences

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

A set of deep learning models for FRB/RFI binary classification.

Repository to identify Lego bricks automatically only using images

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Repository for anime characters recognition website, powered by TensorFlow

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

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…

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

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Alzheimer's Disease Prediction by using ResNet, AlexNet

使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

Implementation of the paper "End to End Learning for Self-Driving Cars"

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

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

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

A comprehensive list of awesome contrastive self-supervised learning papers.

use transfer learning to detect smoke in images and videos

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

CNN histopathologic tumor identifier.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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

Finetuning any DNN for better embedding on neural search tasks

Automatic Fruit Classifier Using Supervised AdaBoost Machine Learning Algorithm

经典机器学习算法的极简实现

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Your local Flux surgeon