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This is a practice codes for understanding data structure and algorithm in Python while taking course from udacity.
Tests the detection and tracking of object using YOLOv8 and SORT.
This repository is created to test my knowledge on ChatGPT and Stable Diffusion.
Implementation of basic image processing and classical computer vision algorithms.
State-of-the-art papers for depth estimation of 360 images.
This is the implementation of neural network with few hidden layers. These implementation is inspired by the course I took on Coursera with deeplearning.ai.
Implementation of different state-of-the-art deep learning model from scratch.
Implementation of different applied machine learning algorithms from scratch with theory and details of implementation.
The implementation of transformer as presented in the paper "Attention is all you need" from scratch.
Study and applications of NLP algorithm prior transformers.
Deployment of different object detection models.
An implementation of BERT from scratch for finetuning on QA tasks.
Implementation of Generative Pre-Training (GPT)-2 model from scratch.
Implementation of Vision Transformer (ViT) from scratch for image classification.
Road towards diffusion models.