Pedro C. Neto's repositories
Universal-Adversarial-Perturbations-Pytorch
Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topics in Deep Learning course at Aalto University, Finland.
Deep-Learning-Push-Up-Counter
Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
Face-Verification-VGGFace
Face recognition model trained on VGG Faces 2 to recognise people on videos without being explicitly trained on them. (Based on a database of people pictures can identify the person of the video through the extracted features)
Popular-Deep-Nets-Architectures-Pytorch
Implementation of some of the most popular Deep neural networks architectures described on popular papers
RNAFoldingDeepRL
Implementation of a RL agent to fold RNA sequences for the CS-E4880 - Machine Learning in Bioinformatics course at Aalto University, Finland.
HashCode2017
Implementation of a Genetic Algorithm to solve the optimization problem proposed at HashCode 2017 edition
DeepLearningProject
Using Deep Learning to Segment pneumonia opacities on X-Ray images. Final project for the CS-E4890 - Deep Learning course at Aalto University, Finland.
netopedro_old.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
self-supervised-histopathology
Pretrained model for self supervised histopathology
Spectral-Graph-Partitions
Final project for the CS-E4600 - Algorithmic Methods of Data Mining course at Aalto University, Finland.
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
ElasticFace
ElasticFace Elastic Margin Loss for Deep Face Recognition
face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
netopedro.github.io
Personal website:
OptimalMatchingConfidence
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Pong-Pixels-Reinforcement-Learning
Using Q-Learning to teach an agent how to play Pong from the pixels. Final project to the course ELEC-E8125 - Reinforcement learning at Aalto University, Finland.
Histopathology-Datasets
Ressources of histopathology datasets