Name: Prajol Shrestha
Type: User
Company: Friedrich-Alexander-Universität Erlangen-Nürnberg
Bio: I research the intersection of Computer Vision, Signal Processing and Machine Learning.
Location: Erlangen, Germany
Blog: https://prajolshrestha.github.io
Prajol Shrestha's Projects
My personal configuration for my OS!
MNIST, Fashion-MNIST, and CIFAR-10.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A Python desktop application built with Tkinter
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
A simple GUI chatbot interface built with PyQt6 framework.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Feature Extraction, Image Registration, 3D reconstruction from scratch
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
Deep Learning Models for Computer Vision from scratch.
Some of the algorithms and models of Deep Reinforcement Learning
DeepSolo for Map dataset
MLLMOps roadmap
Hands-on Image processing using OpenCV
A simple motion detection application built with Python and OpenCV library
Natural language processing using CNN and RNN models
Blog and Portfolio page.
Python, C/C++, CUDA, BASH, Assembly, Rust, linear algebra, geometry, (numba, pytorch, tensorflow, )
Kolmogorov Arnold Networks
Stable Diffusion implemented from scratch in PyTorch