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