gustavecortal
I'm a PhD student on natural language processing for emotion analysis at Ecole Normale Supérieure Paris-Saclay.
France
Pinned Repositories
aco-tsp
Solving Traveling Salesman Problem (TSP) using Ant Colony Optimization (ACO).
emb-gam
An interpretable and efficient predictor using pre-trained language models. Scikit-learn compatible.
feedforward-neural-networks
PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)
gpt-j-fine-tuning-example
Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression
naive-bayes
Python implementation of naive bayes from scratch and using scikit-learn
natural-language-processing
Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)
ngram
Python implementation of n-gram language models from scratch and using NLTK (+ slides from my NLP course)
person-action-object
My personal Person-Action-Object (PAO) system for memorizing 1000 digits of Pi
statistical-learning-with-R
Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)
transformer
Slides from my NLP course on the transformer architecture
gustavecortal's Repositories
gustavecortal/gpt-j-fine-tuning-example
Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression
gustavecortal/aco-tsp
Solving Traveling Salesman Problem (TSP) using Ant Colony Optimization (ACO).
gustavecortal/feedforward-neural-networks
PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)
gustavecortal/natural-language-processing
Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)
gustavecortal/ngram
Python implementation of n-gram language models from scratch and using NLTK (+ slides from my NLP course)
gustavecortal/statistical-learning-with-R
Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)
gustavecortal/transformer
Slides from my NLP course on the transformer architecture
gustavecortal/emb-gam
An interpretable and efficient predictor using pre-trained language models. Scikit-learn compatible.
gustavecortal/naive-bayes
Python implementation of naive bayes from scratch and using scikit-learn
gustavecortal/recurrent-neural-networks
Slides from my NLP course on recurrent neural networks and attention mechanisms
gustavecortal/causemo
Text-based Emotion and Cause Pair Identification (CAUSEMO)
gustavecortal/github-slideshow
A robot powered training repository :robot:
gustavecortal/github-upload
gustavecortal/ic_gan
Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.
gustavecortal/idt
Image Dataset Tool (idt) is a cli tool designed to make the otherwise repetitive and slow task of creating image datasets into a fast and intuitive process.
gustavecortal/mtj-softtuner
Create soft prompts for GPT-J-6B and GPT-Neo-2.7B with maximum batch size for free in a Google Colab TPU instance
gustavecortal/ru-dalle
Generate images from texts. In Russian
gustavecortal/stylegan2
StyleGAN2 - Official TensorFlow Implementation with practical improvements
gustavecortal/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.