h-jia

Activity-recoginition-using-PAMAP2-dataset

Activity recognition using PAMAP2 dataset

batch_normalized_LSTM

Implementation of batch normalization LSTM in pytorch.

conference-paper-rss

reading conference paper using rss

DeepCORAL

A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

HAR_PAMAP2

Performing human activity recognition on the PAMAP2 dataset

pytorch-nlp-tutorial-eu2018

O'Reilly AI training - London 2018

PyTorch-ONNX-TFLite

Conversion of PyTorch Models into TFLite

savgol_filter_gpu

GPU accelearted savgol filter based on Pytorch

TTE

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

h-jia/savgol_filter_gpu

GPU accelearted savgol filter based on Pytorch

h-jia/DeepCORAL

A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

h-jia/Alfred_workflows

h-jia/AutoGAN

[ICCV 2019] AutoGAN: Neural Architecture Search for Generative Adversarial Networks

h-jia/DevKit-GAN

PyTorch Distributed Training Utils

h-jia/Downgrade_Catalina_to_Mojave

h-jia/EvoNorm

h-jia/GAN-pruning

A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).

h-jia/gogit

一个结合 Crontab 定时推送 Github 或 Coding 库小玩意。

h-jia/human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

h-jia/imgclsmob

Sandbox for training convolutional networks for computer vision

h-jia/Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

h-jia/MDAN

Demo code for the MDAN paper.

h-jia/moving_average

h-jia/NASP-codes

h-jia/NeuralWeightVirtualization

[MobiSys 2020] Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization

h-jia/NostalgicAdam-NosAdam

Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate

h-jia/PAMAP2-Physical-Activity-Monitoring-Data-Analysis-and-ML

Data Analysis and Machine Learning on Physical monitoring data

h-jia/PC-DARTS

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

h-jia/plant_disease_experiments

A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input

h-jia/PoseEstimation-CoreML

The example of running Pose Estimation using Core ML

h-jia/PRML

PRML algorithms implemented in Python

h-jia/pyEasyTL

python version for EasyTL

h-jia/pytorch-on-android

setup pytorch on android

h-jia/RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

h-jia/RandLA-Net

RandLA-Net in Tensorflow (CVPR 2020, Oral)

h-jia/ShuffleNet-v2-Pytorch

implement the shufflenetv2, and test the performance

h-jia/Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

h-jia/tflite-tools

TFLite model analyzer & memory optimizer

h-jia/transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习