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.
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.🔊👾😎
delldu/TextCNN
Convolutional Neural Networks for Sentence Classification(https://arxiv.org/abs/1408.5882) .
zhiweilin27/ResNet
kvsnoufal/portfolio-optimization
rathiromil13/DS-5500-Project-Portfolio-Optimization-Using-Deep-Reinforcement-Learning
The repository contains the code for project for DS 5500 course at Northeastern.
MatthieuSarkis/Portfolio-Optimization-and-Goal-Based-Investment-with-Reinforcement-Learning
shilewenuw/deep-learning-portfolio-optimization
icfly2/hjb_solvers
A range of Hamilton–Jacobi–Bellman (HJB) solvers. Solve optimisation problems with dynamic programming.
fwang91/residual-attention-network
Residual Attention Network for Image Classification
LucS12/MonteCarlo-assetAllocation
Implementations of Monte Carlo simulations for asset allocation solutions and examinations.
KristinaRay/portfolio-optimization
Mean Variance Optimization for financial portfolio
hobinkwak/Portfolio-Optimization-Deep-Learning
Mean-Variance Optimization using DL (pytorch)
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
JayPatwardhan/ResNet-PyTorch
Basic implementation of ResNet 50, 101, 152 in PyTorch
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.
KaimingHe/deep-residual-networks
Deep Residual Learning for Image Recognition
elizazhang21/AmericanOptionPricing
Valuing American Options by Simulations and other methods
luphord/longstaff_schwartz
A Python implementation of the Longstaff-Schwartz linear regression algorithm for the evaluation of call rights an American options.
zhiweilin27/AnalysisLin
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
Robin-Guilliou/Option-Pricing
Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
brianchiang-tw/SQL_for_DataScience
A set of practice and demo code of SQL for Data Science on Coursera
DataScienceSpecialization/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
zhiweilin27/Data-analysis-in-R
personal projects
sj50179/Google-Data-Analytics-Professional-Certificate