Victor Ivamoto's repositories
classifier
Machine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade de Sao Paulo. All codes in Python, NumPy and Matplotlib with example in the end of file.
recommendation-system
Movie recommendation system using statistics and machine learning methods. Contains code, report and R Markdown file.
NVIDIA-Inverted-Mask-Dataset
Inverted mask of NVIDIA Irregular Mask dataset
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bracis-2023
Supplementary material of paper "Occluded Face In-painting Using Generative Adversarial Networks — A Review"
challenges
Some brain teasers for fun. Also, an opportunity to practice programming and problem solving.
datachallenge
TOTVS Labs Data Challenge
factor-analysis
Case study of Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) in R.
GatedConvolution_pytorch
A modified reimplemented in pytorch of inpainting model in Free-Form Image Inpainting with Gated Convolution [http://jiahuiyu.com/deepfill2/]
gcp-flask-ml-deploy
This is a project to auto-deploy with an ML payload
getting-started
Getting started with Docker
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
numpy-100
100 numpy exercises (with solutions)
pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
readme-template
README.md template for your open-source project
Twin-SVM
Twin SVM implementation
Unsupervised-Learning
Unsupervised learning algorithms in Python.
VMLS-Companions
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.