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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.

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.

data-science

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)

nvidia-inverted-mask-dataset

Inverted mask of NVIDIA Irregular Mask dataset

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

recommendation-system

Movie recommendation system using statistics and machine learning methods. Contains code, report and R Markdown file.

regression

scaffold

simplewhaledemo

twin-svm

Twin SVM implementation

unsupervised-learning

Unsupervised learning algorithms in Python.

usp-hpc

Universidade de Sao Paulo High-Performance Computing documentation.

vivamoto.github.io

vmls-companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

wine

Classification of wine type based on physicochemical properties, such as pH, alcohol and sugar levels. Contains report, R code and R Markdown file.