x-zho14

MAPLE

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

ProbMask-official

Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint

SparseIRM

Probabilistic-Bilevel-Coreset-Selection

Code for Probabilistic Bilevel Coreset Selection

VRPGE-Sparse-Training

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

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

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bilevel_coresets

Coresets via Bilevel Optimization

Building-Low-Latency-Applications-with-CPP

Building Low Latency Applications with CPP by Packt Publishing

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.

DS-Net

(CVPR 2021, Oral) Dynamic Slimmable Network

FedReg

google-research

Google Research

group_DRO

Distributionally robust neural networks for group shifts

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)

jtt

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

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

meta-weight-net

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

OpenSelfSup

Self-Supervised Learning Toolbox and Benchmark

opensource-hft

ReCU

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

sparsity-in-deep-learning

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

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

SWAT

Swin-Transformer

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

Unified-LTH-GNN

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

vision_transformer

VisionPermutator

MLP-Like Vision Permutator for Visual Recognition (PyTorch)

x-zho14.github.io