Hongxin Wei

logitnorm_ood. Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

JoCoR. CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

ODNL. Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)

open-sampling. Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets

MarketVectors. Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

LogitClip. ICML 2023 Mitigating memorization of noisy labels by clipping the model prediction

coursera-dl. Script for downloading Coursera.org videos and naming them.

writingtool. JavaScript

InstaMaterial. Implementation of Instagram with Material Design (originally based on Emmanuel Pacamalan's concept)

StylishMusicPlayer. A stylish music player for android device 16+

AcDisplay. AcDisplay is a new way of handling notifications in Android.

gcforest. Python

superCleanMaster. 一键清理 开源版，包括内存加速，缓存清理，自启管理，软件管理等。

deep-ctr. An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

DS3L. The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.

wheels. Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Co-teaching. NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

everyday. 从今天开始，要么写代码要么写文档

tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.

dl-docker. An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

imbalanced-semi-self. [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

data. Data and code behind the stories and interactives at FiveThirtyEight

TreeID. Automatic leaf image recognition system for plant species identification. Aims to classify all of the 60,000 trees on Stanford's campus.