JerryLead

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

dask

Parallel computing with task scheduling

cvxpy

A Python-embedded modeling language for convex optimization problems.

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

opacus

Training PyTorch models with differential privacy

Federated-Learning

联邦学习

dask-ml

Scalable Machine Learning with Dask

Text-Classification-Pytorch

Text classification using deep learning models in Pytorch

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

Text-Classification-Models-Pytorch

Implementation of State-of-the-art Text Classification Models in Pytorch

ml-ease

ADMM based large scale logistic regression

minirank

Ranking and ordinal regression algorithms in Python

Text-Classification

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

ADMM

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

pytorch-minimize

Use scipy.optimize.minimize as a PyTorch Optimizer.

bank-account-fraud

pytorch

Improved LBFGS and LBFGS-B optimizers in PyTorch.

DeltaGrad

ADMML

ADMM based Scalable Machine Learning on Spark

yelp_dataset_challenge

Play around with Yelp dataset in Python (in progress and very messy repo)

IRLS_using_DL_frameworks

IRLS(Iterative re-weighted least square) for Logistic Regression, implemented using tensorflow2.0/pytorch

Jacobi-ADMM

Parallel Multi-Block ADMM with o(1/k) Convergence

python-random-access-file-reader

Low memory usage random access reader for csv and general files

ADMMSoftmax

SOADML

Scripts for optimization class

ADMM-for-Logistic-Regression

knowledge_repository

This is the knowledge repository of the I-BiDaaS project

admm-l1-2-logistic-regression

Admm l1/2 logistic regression using MPI and GSL

ADMM_LASSO-Optimizer

Implemented ADMM optimizer for solving Lasso regression problem

PKDD-99-Discovery-Challenge

This project describes a bank offering services to private customers . The services provided by the bank include account managing, loan sanctioning , etc. Task description The bank wants to improve their services. For instance, the bank managers have only vague idea, who is a good client (whom to offer some additional services) and who is a bad client (whom to watch carefully to minimize the bank loses). Fortunately, the bank stores data about their clients, the accounts (transactions within several months), the loans already granted, the credit cards issued The bank managers wantto improve their understanding of customers and seek specific actions to improve services. A mere application of a discovery tool will not be convincing for them.