( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Transfer Learning Suite
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Image classification for everyone.
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
Transfer Learning library for Deep Neural Networks.
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.
Accel Brain Code
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.
Learn To Select Data
Code for Learning to select data for transfer learning with Bayesian Optimization
Code for Sluice networks: Learning what to share between loosely related tasks
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
Play MK.js with TensorFlow.js
Improving Generalization via Scalable Neighborhood Component Analysis
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
🔍 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.
Open Toolkit for Painless Object Detection
Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
Deep Learning: Image classification, feature visualization and transfer learning with Keras
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Library of transfer learners and domain-adaptive classifiers.
This Repository contains all tensorflow tutorials.
jiant is an NLP toolkit
Cross Domain ner
Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
tensorflow deep RL for driving a rover around