Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
auxiliary-tasks-rl
Bi-DirectionRNN_Stock_Trend
A small project to use Bidirectional GRU to learn stock in/decrement prediction and 20-day trend simultaneously and output the prediction of the trend
Embedded_Deep_Learning
GMM-Generated-data-imbalance-classification
A sample of Gaussian Mixture Model (GMM)-generated data to be used in label-imbalanced classification.
HSIC_Lasso_Python_version
HSIC_Lasso_with_optimization
Imbalance-XGBoost
XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
Polynomial_and_Anova_feature_map
This is a small project using a iteration function calling method code the explicit feature map of polynomial and Anova kernel. Copyright: Chen Wang
streaming-regret-minimization-MABs
Codes for the experiments in paper 'Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits.'
jhwjhw0123's Repositories
jhwjhw0123/Imbalance-XGBoost
XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
jhwjhw0123/HSIC_Lasso_with_optimization
jhwjhw0123/Bi-DirectionRNN_Stock_Trend
A small project to use Bidirectional GRU to learn stock in/decrement prediction and 20-day trend simultaneously and output the prediction of the trend
jhwjhw0123/Embedded_Deep_Learning
jhwjhw0123/GMM-Generated-data-imbalance-classification
A sample of Gaussian Mixture Model (GMM)-generated data to be used in label-imbalanced classification.
jhwjhw0123/HSIC_Lasso_Python_version
jhwjhw0123/Polynomial_and_Anova_feature_map
This is a small project using a iteration function calling method code the explicit feature map of polynomial and Anova kernel. Copyright: Chen Wang
jhwjhw0123/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
jhwjhw0123/auxiliary-tasks-rl
jhwjhw0123/awesome-deep-vision
A curated list of deep learning resources for computer vision
jhwjhw0123/Deep_Reinforcement_Atari_games_ATML
Coursework of Deep Reinforcement Learning (Advanced Topics in ML) of UCL 2016-2017
jhwjhw0123/streaming-regret-minimization-MABs
Codes for the experiments in paper 'Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits.'
jhwjhw0123/causal-confusion
Code for paper Causal Confusion in Imitation Learning
jhwjhw0123/covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
jhwjhw0123/dpp
Determinantal point process
jhwjhw0123/draw_convnet
jhwjhw0123/GraphZeppelin
Folked: Open-source library for Graph Streaming. Solves the connected components problem using sub-linear space. Published in SIGMOD'22.
jhwjhw0123/GSWDesign.jl
An efficient method for sampling from the Gram--Schmidt Walk Design.
jhwjhw0123/jhwjhw0123.github.io
jhwjhw0123/Machine_Vision_Mixture_of_Gaussian
jhwjhw0123/ProjectList
This is a project listing my previous projects. This will be keeping update as I am carrying out more projects.
jhwjhw0123/pyro
Deep universal probabilistic programming with Python and PyTorch
jhwjhw0123/Representation_Learning_on_Graphs_with_Jumping_Knowledge_Networks
Representation Learning on Graphs with Jumping Knowledge Networks
jhwjhw0123/RNN_sequence_image_prediction_and_in-painting
jhwjhw0123/Story_Sort_NLP
jhwjhw0123/TICC
jhwjhw0123/Time_Series_MoG_Clustering
jhwjhw0123/Undergraduate_Project_Intelligent_Car
jhwjhw0123/vertex-update-dynamic-cc
code for the paper "Dynamic Correlation Clustering in Sublinear Update Time" accepted at ICML 2024
jhwjhw0123/xiaofeng-python-multiprocess