Assignments for CMU 16-824 Visual Learning and Recognition

Autonomous Vehicle Perception Image Classification

16-833 Robot Localization and Mapping at Carnegie Mellon University

YOLOv2 algorithm reimplementation with pytorch

CNN autoencoder is trained on the MNIST numbers dataset for image reconstruction. Anomaly detection is carried out by calculating the Z-score. The framework used is Keras.

Anomaly detection on images using features from pretrained neural networks.

This is the cheat sheet Jupyter Notebook I made for my Matplotlib Learn in One Video Tutorial. I basically condensed the Matplotlib API down into this one cheat sheet with tons of examples.

Python sample codes and textbook for robotics algorithms.

🤖 Places where you can learn robotics (and stuff like that) online 🤖

Udacity Self-Driving Car Engineer Nanodegree projects.

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

The English version of 14 lectures on visual SLAM.

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

A list of resources on how/why to do a PhD

Collection of advice for prospective and current PhD students

End-to-End Object Detection with Transformers

Lane Finding Project for Self-Driving Car ND

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Simple image captioning model

This repository is to prepare for Machine Learning interviews.

Tutorial Materials for ICCV19

Variational Memory Encoder-Decoder

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Neural Stored-program Memory

Code of Neurocoder paper

Neural Turing Machines (NTM) - PyTorch Implementation

"Neural Turing Machine" in Tensorflow

A basic implementation of DeepMind's first NTM