308 Open source projects that are alternatives of or similar to Ddc Transfer Learning

Towards deepfake detection that actually works

High Quality Monocular Depth Estimation via Transfer Learning

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

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

中文ULMFiT 情感分析 文本分类

Persian Bert For Long-Range Sequences

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

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

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.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Domain Adaptation

Image classification for everyone.

Transfer Learning for Anime Characters Recognition

Gradients as Features for Deep Representation Learning

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

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

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Repository for Transfer Learning using Deep CNNs trained with synthetic images

一些关于机器学习的学习资料与研究介绍

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Improving Generalization via Scalable Neighborhood Component Analysis

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

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

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

🔍 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.

Genre Classification using Convolutional Neural Networks

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

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

Adversarial Discriminative Domain Adaptation in Chainer

a sklearn wrapper for Google's BERT model

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

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Applying NLP transfer learning techniques to predict Tweet stance

AU_Recognition based on CKPlus/CK database

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

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018

NLU: domain-intent-slot; text2SQL

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

python 3 pytorch implementation of DANN

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

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)

Tensorflow Implementation of open set domain adaptation by backpropagation

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

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

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

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

Deep-learning seismic facies on state-of-the-art CNN architectures

Abstractive summarisation using Bert as encoder and Transformer Decoder

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

Transfer Learning library for Deep Neural Networks.