Research Scientist
stable-diffusion-aesthetic-gradients. Personalization for Stable Diffusion via Aesthetic Gradients 🎨
741gpt-j-api. API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend
335zero-shot-reward-models. ZYN: Zero-Shot Reward Models with Yes-No Questions
34configurable-safety-tuning. Data and models for the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data"
17refined-dpo. Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs
13awesome-rlaif. A curated and updated list of relevant articles and repositories on Reinforcement Learning from AI Feedback (RLAIF)
12distilled-self-critique. distilled Self-Critique refines the outputs of a LLM with only synthetic data
11sgmcmc-force. Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"
11samsi-deep-learning. Practical materials for the Deep Learning course at SAMSI/Duke Uni
7ai-ml-course. Materials for the course: AI ML & Analytics
5machine-learning. Projects for the Computational Geometry and Machine Learning course developed in Python
5specification-self-correction. Code for the paper "Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement"
4autocrit-likert-gpt. Automatic and zero-shot critique of outputs using the OpenAI API with json outputs
4zero-shot-api. Python
3random-thoughts. A personal blog and wiki about language models, reinforcement learning and what not.
3art-explorer. Semantic search over paintings databases using deep learning
3data-sharing. Jupyter Notebook
3curso-ml-avanzado-21. Jupyter Notebook
3personalCRMbot. A telegram bot for personal CRM relationships
3ARAMARL. Experiments for the paper RL under Threats
3meta-self-critique. MetaSC: Test-Time Safety Specification Optimization for Language Models
2neural-classifier. Neural text classifier using pytorch for legal sentences
2fom-tutorial. A gentle practical intro to adversarial ML using pytorch and cleverhans
2vis. Jupyter Notebook
2text-decrypter. A tool for decrypting text using Haskell
2configurable-preference-tuning. Python
2vicgalle.
1nn-review. Code for the paper "Current advances in neural networks"
1kaggle-bimbo. Group Bimbo Inventory Demand
1train-text2text. Python
1causal-covid-pollution. Estimating the (causal) impact of the covid-19 measures in pollution generated by urban traffic
1wiki-example.
1ARA-for-AT. Adversarial Risk Analysis for Improving Adversarial Training
1merging-self-critique-jailbreaks. "Merging Improves Self-Critique Against Jailbreak Attacks", code and models
1comp-algebra. Fundamental Computer Algebra algorithms implemented in Maple
1C-like-compiler. A C-like language compiler written in Java that generates assembly code for the p-machine
1phd-thesis. TeX
1function-graphing-FPGA. Team project developed on FPGA using VHDL: Function graphing.
1numerical-analysis-ode. A set of algorithms for the numerical integration of ordinary differential equations
1AI. Several projects for the Artificial Intelligence course, with topics such as Recommender and Rule-based Systems, Ontologies and Natural Language Processing.
1vicgalle.github.io. My personal webpage
1os-utils. Some utils for UNIX systems administration. Developed during a university course (Advanced topics in operating systems and networks, fall 2015).
1optimal-reward-design. Jupyter Notebook
1cusp-dnn. Cumulative Shrinkage Priors for DNNs
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