Pinned Repositories
ab-framework
Notes and Python scripts for A/B or Split Testing
actionable-recourse
evaluate recourse in linear classification models
airflow_project
scaffold of Apache Airflow executing Docker containers
burning_glass
Present code
business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
CTGAN
Conditional GAN for Tabular Data
DANN_py3
python 3 pytorch implementation of DANN
NYU-Artificial-Intelligence
Contains the files for the Artificial Intelligence class at NYU - Fall 2015
NYU-Information-Visualization
Contains the files for Information Visualization class in NYU in Spring 2016
MendesSP's Repositories
MendesSP/ab-framework
Notes and Python scripts for A/B or Split Testing
MendesSP/actionable-recourse
evaluate recourse in linear classification models
MendesSP/airflow_project
scaffold of Apache Airflow executing Docker containers
MendesSP/burning_glass
Present code
MendesSP/business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
MendesSP/CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
MendesSP/CTGAN
Conditional GAN for Tabular Data
MendesSP/DANN_py3
python 3 pytorch implementation of DANN
MendesSP/Datacamp
Contains the Data Science Projects from DataCamp
MendesSP/ddan
Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
MendesSP/fairness-comparison
Comparing fairness-aware machine learning techniques.
MendesSP/fastai-d1
MendesSP/fastai-v3
Starter app for fastai v3 model deployment on Render
MendesSP/GAIN
Generative Adversarial Imputation Networks (GAIN)
MendesSP/Kensho
MendesSP/machine-learning-deployment
Launch machine learning models into production using flask, docker etc.
MendesSP/mlops-amazon-sagemaker-devops-with-ml
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
MendesSP/mlrun
Machine Learning automation and tracking
MendesSP/Movie-Recommender-System
MendesSP/MSDA
Experiments on Multi-Source Domain Adaptation
MendesSP/Multiple-Domain-Matching-Network
Extracting Relationships by Multi-Domain Matching
MendesSP/PADA
Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
MendesSP/Processing-of-missing-data-by-neural-networks
MendesSP/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
MendesSP/pydci
A Python implementation of the Distributional Correspondence Indexing algorithm
MendesSP/sports
MendesSP/tencent-ml-images
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
MendesSP/tensorflow
Computation using data flow graphs for scalable machine learning
MendesSP/Transferable-Adversarial-Training
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
MendesSP/Xlearn
Transfer Learning Library