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about

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

adabound

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

adax

Adaptive Gradient Descent with Exponential Long Term Memory

adax-1

AdaX: Adaptive Gradient Descent with Exponential Long Term Momery

amazon-forecast-samples

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

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

black

The uncompromising Python code formatter

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

deeplab-pytorch

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

examples

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

ftle_lstm

github-profile-readme-generator

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

hiclass

A python library for hierarchical classification compatible with scikit-learn

leetcodesolutions

neural_exploration

Study NeuralUCB and regret analysis for contextual bandit with neural decision

popostar

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

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

pyod

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

pytod

TOD: Tensor-based Outlier Detection

pytorch-deeplab

DeepLab-ResNet rebuilt in Pytorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-goodies

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

pyxab

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

radam

On the Variance of the Adaptive Learning Rate and Beyond

raiden

A java game

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

wildcat.pytorch

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