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stevenji's Projects

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hipsternet icon hipsternet

All the hipster things in Neural Net in a single repo

hit-oslab icon hit-oslab

哈尔滨工业大学《操作系统》课程实验指导手册、实验环境(64位支持)及源码。

igmc icon igmc

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

imagecaptioning.pytorch icon imagecaptioning.pytorch

Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imcap_keras icon imcap_keras

Image captioning with spatial attention using keras with tensorflow backend

indrnn icon indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

isic2018 icon isic2018

ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection

itranswarp.js icon itranswarp.js

Full-featured CMS including blog, wiki, discussion, etc. powered by Nodejs.

jekyll-text-theme icon jekyll-text-theme

💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

kaggle_ncfm icon kaggle_ncfm

Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%

kbgan icon kbgan

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

keras-rcnn icon keras-rcnn

Keras package for region-based convolutional neural networks (RCNNs)

learn_neuraltalk icon learn_neuraltalk

This is a place to learn the details about neutralTalk, comes from Deep Visual-Semantic Alignments for Generating Image Descriptions which is a paper written by Andrej Karpathy.

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

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