Wenjie Li's repositories

PyXAB

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

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About

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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AdaX

Adaptive Gradient Descent with Exponential Long Term Memory

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Raiden

A java game

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AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

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AdaX-1

AdaX: Adaptive Gradient Descent with Exponential Long Term Momery

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amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

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awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

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black

The uncompromising Python code formatter

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dcat-admin

🔥 基于 Laravel 的后台系统构建工具 (Laravel Admin),使用很少的代码快速构建一个功能完善的高颜值后台系统,内置丰富的后台常用组件,开箱即用,让开发者告别冗杂的HTML代码

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deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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github-profile-readme-generator

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

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hiclass

A python library for hierarchical classification compatible with scikit-learn

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neural_exploration

Study NeuralUCB and regret analysis for contextual bandit with neural decision

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PopoStar

this was cocos2dx project open source code by popstar(消灭星星cocos2dx代码)

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pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

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pyod

(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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pytod

TOD: Tensor-based Outlier Detection

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Pytorch-Deeplab

DeepLab-ResNet rebuilt in Pytorch

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

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RAdam

On the Variance of the Adaptive Learning Rate and Beyond

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Resume-Job-Description-Matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descript

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wildcat.pytorch

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

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