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aerial-robotics

This course provides an introduction to the mechanics of flight and the design of quadrotor flying robots and teaches to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. We are also exposed to the challenges of using noisy sensors for localization and maneuvering in complex, 3D environments.

algorithms

Implementation of various algorithms in Python.

bdd-data

Scripts to use BDD Dataset

blindness-detection

brainwaves-machine-learning-challenge-2017

Used different supervised learning algorithms with cross-validation to solve the two problems.

cifar-100-catech-101

commentator

A Django based comment system.

computational-motion-planning

This repository consists of various programming assignments to solve the motion planning problem using different approaches including graph-based methods, randomized planners and artificial potential fields.

control-of-mobile-robots

Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. This course is created by Georgia Institute of Technology and taught by Dr. Magnus Egerstedt on Coursera.

datasets

deep-learning-beginner

Wildlife images captured in a field represent a challenging task while classifying animals since they appear with a different pose, cluttered background, different light and climate conditions, different viewpoints, and occlusions. Additionally, animals of different classes look similar. All these challenges necessitate an efficient algorithm for classification. In this challenge, you will be given 19,000 images of 30 different animal species. Given the image of the animal, your task is to predict the probability for every animal class. The animal class with the highest probability means that the image belongs to that animal class.

detr

End-to-End Object Detection with Transformers

dl-3

Exploratory Data Analysis ; Deep Learning 3;

e2gan

[ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

easy21

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hackerearth

Programming Challenges at Hackerearth

jekyll-now

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

laymon

A Python based library used to visualise features maps of a neural network.

machine_learning_nd

This repository consists of projects using different Machine Learning techniques taught in the Machine Learning Engineer Nanodegree at Udacity.

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

music-generation-using-rnn

The current technological advancements have transformed the way we not only produce, but listen and work with music. In this notebook, we will use Recurrent Neural Networks, to build a character-based model that generates jazz piano notes.

networkregistry

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

object-detection-using-yolo

The repository contains files to build a object detection model using the yolo pre-trained weights. We have then applied transfer learning to train the model on the Berkley Driving dataset.

openmined

The OpenMined Unity Application

pysyft

Private Deep Learning Client

pysyft-tensorflow

SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft

rake

A python implementation of the Rapid Automatic Keyword Extraction

real-time-bluetooth-networks

Programming assignments related to the course Real-Time Bluetooth Networks, UTAustinX: UT.RTBN.12.01x