x-zho14

134

CMF_HFMM

My work on a project "High Frequency Market Making: Optimal Quoting" in the Center of Mathematical Finances.

GraNet

[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

hidden-networks

MAPLE

Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning

Probabilistic-Bilevel-Coreset-Selection

Code for Probabilistic Bilevel Coreset Selection

ProbMask-official

Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint

SparseIRM

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

VRPGE-Sparse-Training

Implementation of Efficient Neural Network Training via Forward and Backward Propagation Sparsification

x-zho14/MAPLE

Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning

x-zho14/ProbMask-official

Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint

x-zho14/SparseIRM

x-zho14/Probabilistic-Bilevel-Coreset-Selection

Code for Probabilistic Bilevel Coreset Selection

x-zho14/VRPGE-Sparse-Training

Implementation of Efficient Neural Network Training via Forward and Backward Propagation Sparsification

x-zho14/CMF_HFMM

My work on a project "High Frequency Market Making: Optimal Quoting" in the Center of Mathematical Finances.

x-zho14/GraNet

[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

x-zho14/Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

x-zho14/134

x-zho14/bilevel_coresets

Coresets via Bilevel Optimization

x-zho14/Building-Low-Latency-Applications-with-CPP

Building Low Latency Applications with CPP by Packt Publishing

x-zho14/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

x-zho14/delay

x-zho14/DS-Net

(CVPR 2021, Oral) Dynamic Slimmable Network

x-zho14/FedReg

x-zho14/google-research

Google Research

x-zho14/group_DRO

Distributionally robust neural networks for group shifts

x-zho14/HKUST_PhD_MPhil_thesis_Latex

The Hong Kong University of Science and Technology PhD/MPhil thesis latex template based on the latest official sample (http://pg.ust.hk/guides_n_forms/students/thesis_sample_page_phd.pdf)

x-zho14/jtt

Code for "Just Train Twice: Improving Group Robustness without Training Group Information"

x-zho14/meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

x-zho14/OpenSelfSup

Self-Supervised Learning Toolbox and Benchmark

x-zho14/opensource-hft

x-zho14/ReCU

Pytorch implementation of our paper under review -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/abs/2103.12369

x-zho14/sparsity-in-deep-learning

Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests

x-zho14/SWAT

x-zho14/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

x-zho14/Unified-LTH-GNN

[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang

x-zho14/vision_transformer

x-zho14/VisionPermutator

MLP-Like Vision Permutator for Visual Recognition (PyTorch)

x-zho14/x-zho14.github.io