Vitor-Almeida
Building NLP models and frameworks to improve machine interpretation of legislation and laws.
Brazil
Pinned Repositories
erigon
Ethereum implementation on the efficiency frontier https://erigon.gitbook.io
autoFakeRetailData
automatic create a large relational database based on retail sales, sales, price discounts, turnover, warehouse mgmt, targets,
featureOps
EDA and Feature Engineering in the MLOps context
graphKQ
Testing GNNs and KQ
healthGraphOpt
Allocation optimization of patients during covid pandemic using real data from Brazil 2020-2022 period.
interpret_changes
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
landMarkClassification
Classification of case.law cases by landmark cases from www.law.cornell.edu
numpyPureNNMNIST
implementation of a neural net to classify the mnist dataset using only numpy (from scratch)
realDeployML
Vitor-Almeida's Repositories
Vitor-Almeida/landMarkClassification
Classification of case.law cases by landmark cases from www.law.cornell.edu
Vitor-Almeida/healthGraphOpt
Allocation optimization of patients during covid pandemic using real data from Brazil 2020-2022 period.
Vitor-Almeida/autoFakeRetailData
automatic create a large relational database based on retail sales, sales, price discounts, turnover, warehouse mgmt, targets,
Vitor-Almeida/featureOps
EDA and Feature Engineering in the MLOps context
Vitor-Almeida/graphKQ
Testing GNNs and KQ
Vitor-Almeida/interpret_changes
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Vitor-Almeida/numpyPureNNMNIST
implementation of a neural net to classify the mnist dataset using only numpy (from scratch)
Vitor-Almeida/realDeployML