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article_webscraper

Simple Google article webscraper project

basics

coverletterai

a simple AI app built with flask

coverlettersai

Generative AI / ChatGPT • Web application for generating custom cover letters for your job applications. Simply feed your resume and the job description to instantly create a tailor-fitted cover letter for that job!

deeplabv3plus-pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

deeplearning_digitrecognizer

MNIST Digit Recognition solved using Deep Convolutional Neural Networks using Keras. This repository contains the entry submitted to Kaggle's MNIST Digit Recognition competition which obtained a score of 0.99485 (Top 16%).

dsp_handwrittenrecognizer

Handwritten Image Recognizer using Neural Networks C++ for Digital Signal Processing. Code accepts white digits on black backgrounds. Currently operates on 20px x 20 px images.

eda-real-estate-listings

Comprehensive Exploratory Data Analysis (EDA) ⬩ on Properati's "Properati Real Estate Listings - Brazil" (https://data.world/properati/real-estate-listings-brazil)

emotion-recognition

goodbooks-10k

Ten thousand books, six million ratings

goodreads

code samples for the goodreads datasets

keypoint-detection-sift

Computer Vision • 🔍 SIFT Keypoint Localization: A robust computer vision project implementing the Scale-Invariant Feature Transform (SIFT) algorithm for accurate keypoint localization in images. #ComputerVision #SIFT #KeypointLocalization"

kmeans-fuzzy-ts-forecast

movielens-recommender-system

Recommender System ⬩ Created a Neural Collaborative Filtering Recommender System to predict user engagement/interaction using movies from 1995 to 2020 in the MovieLens dataset.

mtailor_exam

nlp_basics

openai-cartpole-q-learning

Reinforcement Learning ⬩ Solving the cartpole reinforcement learning problem in OpenAI using Q-Learning.

openai_gym_mountaincar

Solving the mountain-car reinforcement learning problem in OpenAI using Q-Learning.

predicting-future-sales

Time Series Analysis ⬩ Quick Exploratory Data Analysis on the 'Predicting Future Sales' competition in kaggle.

pyfts

Code examples for pyFTS

python-workshop

A series of workshops that I facilitated that introduces the basics of machine learning (ML) using python. The goal is to equip absolute beginners in the Python Language, the ability to navigate and create their own python scripts, analyze basic Datasets, and build simple prediction models around it.

reinbugnot

tropa-face-detection

Computer Vision ⬩ This is a short implementation of the YOLOv3 Framework to train a model to detect and localize the faces of me and 4 of my 'tropa' / friends (DJ, Gab, Nicolo, Nuy) using Pytorch backend and Roboflow for image labelling and annotation.

vizdoom-reinforcement-learning

Reinforcement Learning ⬩ Computer Vision ⬩ Taught an AI how to play a basic shooting match using Deep Q-Learning. Inspired by @simoninithomas's DQN implementation in Atari Space Invaders 2600.