Mitterrand Ekole's Projects
100 Days of Machine Learning Code
This repo contains annotated research papers that I found really good and useful
A collection of awesome readme templates to display on your profile
Unifying Generative Autoencoder implementations in Python
This repository presents a deep learning model for blood smear image analysis using a pretrained network ResNet50 for malaria diagnosis
Implementation of a chatbot using pytorch.
A pytorch implementation of a DCGAN(Deep Convolutional Generative Adversarial Network); a basic GAN with generator and discriminator being deep convnet The model was trained on abstract images dataset from kaggle. The goal here was to use DCGAN to generate abstract fake images from real ones.
Deep Learning Specialization by Andrew Ng on Coursera.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org
The World's Leading Cross Platform AI Engine for Edge Devices
Testing DeepStack AI Engine API's
testing github
End-to-End Object Detection with Transformers
š¤ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Deep Learning based plagiarism detector
Geometric 3D Vision Made Easy
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
My Portfolio Website.
OV2640 camera on ESP32-CAM, Arduino library
Implementation of facial landmarks detection using pytorch on iBUG 300W dataset. Why Xception Net? Because it provides satisfactory accuracy, with least computational requirement and memory utilization, I mean can you believe that my model, which looks kinda massive, is only of 10MB!
This repo contains code for an AI flower image classifier using Pytorch. This project is splitted into three areas:
g2o: A General Framework for Graph Optimization
Curated list of awesome GAN applications and demo
Open weights LLM from Google DeepMind.
The official PyTorch implementation of Google's Gemma models