dtyyazz123

dtyyazz123's Stars

• kirui93/ScenTrees.jl

  Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

  Language:Julia237

• pabhan/TreeRedEx

  a scenario-tree generation algorithm for strategic asset allocation problems in Matlab and AMPL

  Language:Matlab73

• 2020GetGoodOffer/test

  Java复习合集

  Language:Java440124

• vandanpatel0992/Facility-Location-Set-Covering-MIP-model

  -Developed a supply chain network baseline MIP model for a glass manufacuterer with multiple products, manufacuting facilites, and production costs (Regular/Overtime) to find optimal product flow as per sourcing policies and capacity constraints. -To improve the service levels, developed a multi-objective MIP scenario model which finds the minmum number of warehouses to be built such that 80% of the demand is covered with in 500 miles of the nearest source. -Scenario model suggested to build 5 warehouses with their exact location and product flow information and was able to achieve reduction in transporatation cost by 19.75% with 80% demand served within 500 miles compared to 11% of demand within 500 miles in baseline model. -Coded in Python and performed optimization using Gurobi: pandas, dictionaries, loops, gurobi packages, csv package.

  Language:Python148

• Gurobi/modeling-examples

  Gurobi modeling examples

  Language:Jupyter Notebook631276

• wurmen/Gurobi-Python

  Learning how to use gurobi with python (in chinese)

  Language:HTML24588

• CN-GuoZiyang/My-RPC-Framework

  一个简单的RPC框架的实现

  Language:Java805192

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• xiaolai-sqlai/mobilenetv3

  mobilenetv3 with pytorch，provide pre-train model

  Language:Python1.6k340

• zhoudaquan/rethinking_bottleneck_design

  Language:Python13525

• yuanli2333/Teacher-free-Knowledge-Distillation

  Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

  Language:Python58067

• yitu-opensource/MobileNeXt

  Language:Python14728

• RangiLyu/mobilenext

  non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]

  Language:Python488

• rwightman/gen-efficientnet-pytorch

  Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

  Language:Python1.6k214

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.3k198

• yatengLG/Focal-Loss-Pytorch

  全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

  Language:Jupyter Notebook455113

• TingsongYu/ghostnet_cifar10

  ghostnet_cifar10

  Language:Python11624

• SforAiDl/KD_Lib

  A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

  Language:Python60558

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k398

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.6k