308 Open source projects that are alternatives of or similar to Libtlda

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

Deepfakes Video classification via CNN, LSTM, C3D and triplets

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.

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

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

A PyTorch implementation for Adversarial Discriminative 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.

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

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

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

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

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

Genre Classification using Convolutional Neural Networks

一些关于机器学习的学习资料与研究介绍

Skin cancer classification using Inceptionv3

Improving Generalization via Scalable Neighborhood Component Analysis

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

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

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

🔍 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.

AU_Recognition based on CKPlus/CK database

Repository for Transfer Learning using Deep CNNs trained with synthetic images

Building an image classifier using keras

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

NLU: domain-intent-slot; text2SQL

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Applying NLP transfer learning techniques to predict Tweet stance

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

Transfer Learning for Anime Characters Recognition

Official Pytorch implementation of CutMix regularizer

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

Tensorflow Implementation of open set domain adaptation by backpropagation

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

NLP library designed for reproducible experimentation management

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

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

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

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

python 3 pytorch implementation of DANN

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

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

Transfer learning for time series classification

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

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

A place to keep track of all the annotated papers.

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

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

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

This Repository contains all tensorflow tutorials.

jiant is an NLP toolkit

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

Meta learning with BERT as a learner

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Deep Learning Computer Vision Algorithms for Real-World Use

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

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