📫 How to reach me
✅ Finished projects:
Low-Resource-Image-ClassificationImage classification based on "Low-Resource Text Classification: A Parameter-Free Classification Method with Compressors".sDollyFine-tune distilgpt2 for Question Answering.Hinton forward-forward-algorithmImplementation of the forward-forward algorithm by HintonSkip-Connections comparisonComparison between additional and multiplicative skip connectionsCERN Dimensionality-Reduction for GSOCProject for the Google Summer Of Code (GSOC);Homework 2 cs285 2020lab 2 solutions of the course "CS 285 at UC Berkeley";Homework 3 cs285 2020lab 3 solutions of the course "CS 285 at UC Berkeley";Data Lab March 2020 competition: Data Lab 2020 March competition. Solution using SVM and data selection algorithms;Data Lab September 2020 competition: Data Lab 2020 September competition. Solution using MLP and FFT;Interior Point method and MLP implementation from scratchInterior Point Method applied to linear programming problems and Feed forward neural network implementation;Unsupervised Domain Adaptation through rotation as regression for RGB-D Object Recognitionproject involving the replication of a paper plus two new variants using Pytorch;Machine Learning and Deep Learning 2020 homeworks: assignments concerning SVM, KNN, CNN, transfer learning using sklearn and Pytorch;Heart diseas analysiscomparing the main machine learning algoritmhs using the sklearn library;DCGANGenerative models can be used to realize realistic samples for colourization, super-resolution, artwork but also for simulate times series data;VAE on MINSTVAE models used to learn very basic operation on the MNIST dataset.
🚧 Repositories to complete:
Time series analysisRegression using Transformers model implemented from scratch
🔜 Future projects:
- MLP mixer and FNet implementation from scratch.
