Timii's Projects
Deep Convolutional Conditional Generative Adversarial Networks (DCC-GAN)
Autonomous Delivery Drone (In Progress): Developing altitude and location control, auto takeoff and landing, obstacle avoidance, and reinforcement learning for advanced autonomous capabilities.
Using UNet to segment and clasisify the tumours on an MRI brain scan
Master programming by recreating your favorite technologies from scratch.
Action Recognition with Raspberry Pi and Pimoroni Pan-Tilt HAT Camera
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Coursera Generative Adversarial Networks (GANs) Specialization
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Generating random numerical digits with a generative AI trained with a Generative Adversarial Network
This is a Convolutional Neural Network that can identify dogs and cats
This is an Ai model that is able to recognise pictures of dogs.
The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.
End to End ML Project with ML Flow, AWS EC2
Uploading Distance data gotten from an IR Sharp Sensor to Thingspeak
Hi all, this a flight controller code for ESP32, there are test files as well for each sensor.
Face Recognition with one shot learning using Facenet
A MNIST-like fashion product database. Benchmark :point_down:
Experimental exploration of gradient-based methods in RL. Features a simple naive algorithm derivation, REINFORCE implementation, in the CartPole environment. Bridges supervised and reinforcement learning paradigms
Config files for my GitHub profile.
Hmmmm
This is the implementation of the unit LSTM cell
A from-scratch implementation of a flexible neural network using only NumPy. Features customizable layers, activations, and optimizers.