Projects

Research and software

94 projects

Current research

github.com/nlesc-nano/Orchestr.AI

Language models

Language models

Market-research crew

CrewAI agents on Mistral-7B for market research and content strategy.

Language models

LoRA GPT-2

Fine-tuned GPT-2 with LoRA to write positive IMDB reviews.

Language models

Transformer fine-tunes

BERT for classification and GPT-2 for generation.

Language models

Generation and summaries

GPT-2, GPT-Neo-2.7B, Pegasus, BART, and T5.

Language models

FAISS retrieval

Question answering with FLAN-T5, sentence transformers, FAISS, and LangChain.

Language models

OpenAI retrieval

Question answering with LangChain, OpenAI, and ChromaDB.

Language models

BERT document classification

Document classification with BERT.

Molecules

Molecules

Solubility

Linear regression and an LSTM on molecular solubility.

Molecules

SMILES transformers

Fine-tuned BERT and ChemBERTa for pIC50 from SMILES.

Molecules

LSTM embeddings

SMILES embeddings from an LSTM, then a random forest for bioactivity.

Molecules

Stacked ensemble

Meta-learning on Morgan fingerprints.

Language

Language

Emotion in text

Random forest and LSTM.

Language

Roman Urdu normalization

Lexical normalization for spelling variants.

Language

Named entities

NER with an LSTM.

Language

Insincerity

LSTM and GRU on insincere questions.

Language

Toxic comments

Logistic regression, SVM, and random forest.

Prediction

Prediction

Churn

Telecom churn with an SVM.

Prediction

Cardiovascular disease

AdaBoost and random forest.

Prediction

Runner injury

AdaBoost, SVM, and random forest.

Prediction

Weather type

Multiclass weather with PyCaret.

Prediction

Phishing

PyCaret with hyperparameter search.

Text mining

Text mining

Interest clusters

k-means on Facebook page interactions.

Text mining

EM clustering

Expectation-maximization on documents.

Text mining

Review topics

LDA and LSA on Amazon reviews, with t-SNE and pyLDAvis.

Text mining

RapidMiner set

Several data-mining methods in RapidMiner, alongside the Apriori work.

Vision and biology

Vision and biology

Exam monitoring

ResNet-50 transfer learning for exam monitoring at GIK.

Vision and biology

VGG16

Transfer learning from VGG16.

Vision and biology

Protein families

Random forest and logistic regression.

From scratch

From scratch

Naive Bayes

Classifier written without the library version.

From scratch

Linear and logistic regression

Both written from scratch.

From scratch

Feedforward network

A small neural net written from scratch.

Earlier work

Earlier work

Publishing pipelines

From a download to HTML ready for WordPress.

Earlier work

Facebook groups

Scheduled posts into multiple Facebook groups.

Earlier work

Class attendance

Attendance in Microsoft Teams, handled by a script.

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