Venn1998/LogitLens_SentimentAnalysis

Interpretability of GPT-2 when performing sentiment analysis using the Logit Lens technique. The Logit Lens allows us to inspect how predictions evolve through the model's intermediate layers, providing insights that go beyond the final output.

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Venn1998/steering-vectors-from-finetuning

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Venn1998/ML4G-2.0 Fork of EffiSciencesResearch/ML4G-2.0

Improved version of the technical workshops for the 10-day ML4G camp on safety of AI systems

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Venn1998/Diabetes-BayesianModel

Bayesian Network that encodes the relationships between diabetes, its risk factors, and its effects

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Venn1998/CVRP_optimization

CVRP tackled with CP, SAT and MIP

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Venn1998/CarPrices

In this project I built a classification and a regression model to predict, respectively, the price range of second-hand cars and their exact price.

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Venn1998/ComplexNetworks

Simple projects to understand concepts from the Complex Network course at UOC: Structural Descriptors, Models of Complex Networks, Community Detection, Dynamics in CN (Epidemic simulation)

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Venn1998/GlaucomaDetection

Development and analysis of various deep NN models to detect glaucoma cases from fundus images. The performance of the best model was evaluated with cross-validation. Mean F1-score: 0.95975, with a standard deviation of 0.02274.

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Venn1998/RNN_music_generator

Implementation of a recurrent neural network for the generation of music, following the work presented in [JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs, by Gino Brunner, Yuyi Wang, Roger Wattenhofer and Jonas Wiesendanger](https://arxiv.org/pdf/1711.07682.pdf). Some parts of the code attached is taken from the repository of the authors of the paper. We built a LSTM network to generate chords from MIDI files. Finally, we used the embedding layer of the model to project the chords in 2D (with PCA) and visualize the concept of word2vec: we'll se that the model has learned the Circle of Fifths.

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Venn1998/EvolutionaryGames_NetworkDynamics

2 players symmetric games are fascinating from the game theory point of view. Here I study the development of the fraction of cooperators and defectors in a structured population, considering different structures (networks) and different update rules.

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Venn1998/NLP

Projects for the Natural Language Processing course: FakeNews classifier and Sentiment Analysis

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Venn1998/Venn1998

Config files for my GitHub profile.

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