dawnJ

ABCoptim

An implementation of the Artificial Bee Colony (ABC) Algorithm (R-package)

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

Agriculture_KnowledgeGraph

农业知识图谱(KG)：农业领域的信息检索，命名实体识别，关系抽取，分类树构建，数据挖掘

BPL

Bayesian Program Learning model for one-shot learning

chainer

A flexible framework of neural networks for deep learning

chainer-VAE

the same as official VAE example, but using Trainer in this repo

cross-stitch-network

None

DAN

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

deep_architect

DeepArchitect: Automatically Designing and Training Deep Architectures

deep_share

Reference implementation of "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification"

dawnJ/ABCoptim

An implementation of the Artificial Bee Colony (ABC) Algorithm (R-package)

dawnJ/advisor

Open-source implementation of Google Vizier for hyper parameters tuning

dawnJ/Agriculture_KnowledgeGraph

农业知识图谱(KG)：农业领域的信息检索，命名实体识别，关系抽取，分类树构建，数据挖掘

dawnJ/cross-stitch-network

None

dawnJ/deep_architect

DeepArchitect: Automatically Designing and Training Deep Architectures

dawnJ/DeepST

Deep Learning for Spatio-Temporal Data

dawnJ/Distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

dawnJ/EmbeddingAnomalyDetection

Codes for paper "An Embedding Approach to Anomaly Detection."

dawnJ/fudan_mtl_reviews

TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

dawnJ/gp-infer-net

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

dawnJ/halp

Hypergraph Algorithms Package

dawnJ/JHR-Code

This repository present the core codes of method proposed by my paper "Joint Hypergraph Learning for Tag-based Image Retrieval". The codes, SemanticHyperGraph.m(SemanticHyperGraph_Main.m), VisJointHypergraph.m and adaHyperGraphLearning.m, present the sematnic hypergraph constuction, visual joint hypergraph construction and the adaptative hypergraph learning respectively. Many notes can also be found in the codes, you can refer to the spefic codes for more details.

dawnJ/knowledge_graph_demo

This is a demo for a simple knowledge graph.

dawnJ/MachineLearning

Machine Learning in Action（机器学习实战）

dawnJ/MTlearn

Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)

dawnJ/multitask-learn

dawnJ/nlp_tasks

Natural Language Processing Tasks and References

dawnJ/NLPIR

dawnJ/Partial_Order_Hypergraph

Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs

dawnJ/prognet_emorecog

A Pytorch implementation of 'Progressive Neural Networks for Transfer Learning in Emotion Recognition'

dawnJ/Python-Projects

some python projects

dawnJ/Recommendation

推荐算法学习、实验

dawnJ/RLexample

Some basic examples of playing with RL

dawnJ/sluice-networks

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

dawnJ/sparse-structured-attention

Sparse and structured neural attention mechanisms

dawnJ/SparsemaxPytorch

SparseMax activation function implementation (ICML 2016) (PyTorch)

dawnJ/Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

dawnJ/Text-Classification-Pytorch

Text classification using deep learning models in Pytorch

dawnJ/topic-rnn

Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.

dawnJ/transdim

Machine learning for transportation data imputation and prediction.