Pinned Repositories
Autonomous-model-predictive-controller
Autonomous-PID-controller
Autonomous-Polynomial-Trajectory-Generation-Udacity
Polynomial Trajectory Generation Playground code from Udacity (SDCND)
Autonomous-Semantic-Segmentation
Autonomous-Traffic-Sign-Classifier
Autonomous-Vehicle-Detection
Deep-Learning-Advanced
free-programming-books
:books: Freely available programming books
Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Updated version here: https://github.com/Vooban/Hyperopt-Keras-CNN-CIFAR-100
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
nishanthjois's Repositories
nishanthjois/PracticalSessions2019
Materials for the practical sessions at EEML2019
nishanthjois/Deep-Learning-Advanced
nishanthjois/2021_DeepLearning
nishanthjois/airflow-spark-aws-emr
nishanthjois/arepo
nishanthjois/awesome-tensorflow-2
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
nishanthjois/beginner_de_project
Data Pipeline project for data engineer
nishanthjois/brepo
nishanthjois/caf-terraform-landingzones-starter
Starter project for Cloud Adoption Framework for Azure landing zones on Terraform
nishanthjois/carla-colab
How to run CARLA simulator on colab
nishanthjois/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
nishanthjois/crepo
nishanthjois/Deep-Learning-2
nishanthjois/Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
nishanthjois/Deep-learning-with-Python
Deep learning codes and projects using Python
nishanthjois/Distracted-Driver-Detection
Workings on a Deep Learning project which uses various CNN architectures to identify if a driver is distracted or not
nishanthjois/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
nishanthjois/hello-world
nishanthjois/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
nishanthjois/katacoda-scenarios
Katacoda Scenarios
nishanthjois/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
nishanthjois/Notebooks
nishanthjois/puppet
Wikimedia Foundation operates some of the largest collaborative projects in the world. This is our Puppet repo. This repository is a mirror; see https://www.mediawiki.org/wiki/Developer_access for contributing.
nishanthjois/Recommendation_Algos
Algorithms from paper: Evaluation of Session-based Recommendation Algorithms
nishanthjois/repoA
nishanthjois/scenario_runner
Traffic scenario definition and execution engine
nishanthjois/Simple-DevOps-Project
nishanthjois/TensorFlow2.0-Examples
🙄 difficult algorithm, simple code.
nishanthjois/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
nishanthjois/videos
The official distribution of olcConsoleGameEngine, a tool used in javidx9's YouTube videos and projects