Ayoosh Kathuria

pytorch-yolo-v3. A PyTorch implementation of the YOLO v3 object detection algorithm

YOLO_v3_tutorial_from_scratch. Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

PyTorch-YOLO-v2. A PyTorch implementation of a YOLO v2 Object Detector

breast-tumour-maligancy-classification. Breast tumor malignancy classification using machine learning

pytorch-yolo2. Porting https://github.com/marvis/pytorch-yolo2 to Python 3

MNIST-handwritten-digit-recognition. Classification of MNIST Handwritten Digits Database using Deep Learning

Kaggle-Titanic-Challenge. My Solution to Kaggle's Titanic Machine Learning Challenge

tensorboard-pytorch-examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn.pytorch. A faster pytorch implementation of faster r-cnn

Grocery_weak_supervision. Python

DataAugmentationForObjectDetection. Data Augmentation For Object Detection

ayooshkathuria.github.io. Build a Jekyll blog in minutes, without touching the command line.

shitpy. Python

Testing-assumptions-of-Linear-Regression. Modelling Google's Stock price using Linear Regression. Then, testing the statistical assumptions of Linear Regression on the results.

LLMs-from-scratch. Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

theano-tutorial. A collection of tutorials on neural networks, using Theano