zhiweilin27

zhiweilin27's Stars

• meherabhi/Chatbot

  This repository has code for a chatbot using the reformer model. The model was trained on the Multi-Woz dataset.

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• ShrishtiHore/Conversational_Chatbot_using_LSTM

  This project is to create conversational chatbot using Sequence to sequence LSTM models. Sequence to sequence learning is about training models to convert from one domain to sequences another domain.🔊👾😎

  Language:Jupyter Notebook3014

• delldu/TextCNN

  Convolutional Neural Networks for Sentence Classification(https://arxiv.org/abs/1408.5882) .

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• zhiweilin27/ResNet

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• kvsnoufal/portfolio-optimization

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• rathiromil13/DS-5500-Project-Portfolio-Optimization-Using-Deep-Reinforcement-Learning

  The repository contains the code for project for DS 5500 course at Northeastern.

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• MatthieuSarkis/Portfolio-Optimization-and-Goal-Based-Investment-with-Reinforcement-Learning

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• shilewenuw/deep-learning-portfolio-optimization

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• icfly2/hjb_solvers

  A range of Hamilton–Jacobi–Bellman (HJB) solvers. Solve optimisation problems with dynamic programming.

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• fwang91/residual-attention-network

  Residual Attention Network for Image Classification

  549211

• LucS12/MonteCarlo-assetAllocation

  Implementations of Monte Carlo simulations for asset allocation solutions and examinations.

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• KristinaRay/portfolio-optimization

  Mean Variance Optimization for financial portfolio

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• hobinkwak/Portfolio-Optimization-Deep-Learning

  Mean-Variance Optimization using DL (pytorch)

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• ebrahimpichka/portfolio-opt

  Implementation of modern portfolio optimization (mean-variance portfolio optimization) using Monte Carlo simulation and sequential least squares programming (scipy package) in Python

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• JayPatwardhan/ResNet-PyTorch

  Basic implementation of ResNet 50, 101, 152 in PyTorch

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• gcr/torch-residual-networks

  This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

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• KaimingHe/deep-residual-networks

  Deep Residual Learning for Image Recognition

  6.4k2.2k

• elizazhang21/AmericanOptionPricing

  Valuing American Options by Simulations and other methods

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• luphord/longstaff_schwartz

  A Python implementation of the Longstaff-Schwartz linear regression algorithm for the evaluation of call rights an American options.

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• zhiweilin27/AnalysisLin

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• niuers/Learning-From-Data-A-Short-Course

  Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin

  Language:Jupyter Notebook20583

• Robin-Guilliou/Option-Pricing

  Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).

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• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

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• brianchiang-tw/SQL_for_DataScience

  A set of practice and demo code of SQL for Data Science on Coursera

  1514

• DataScienceSpecialization/courses

  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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• zhiweilin27/Data-analysis-in-R

  personal projects

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• sj50179/Google-Data-Analytics-Professional-Certificate

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