Name: rahul indoria
Type: User
Company: Vibracoustic SE & Co. KG
Bio: M.Sc in Intelligent Systems, Bielefeld University. Computer Vision, Image Processing, Deep Learning, coding.
Contact: [email protected]
Location: Hamburg, Germany
rahul indoria's Projects
100 Days of ML Coding
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Contains the problem statements and respective solutions from my AI course. I took this course in 5th semester and was taught by Dr. Rahul Kala
A C++ framework for MDPs and POMDPs with Python bindings
:computer: Data Structures and Algorithms in Python
solutions of Algorithms in C++ by robert sedgewick parts 1-4
Deep Learning examples with Keras.
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Deep Learning Computer Vision Algorithms for Real-World Use
Based on keras rl
implementation of deep reinforcement learning algos
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of deep learning resources for computer vision
Reinforcement learning resources curated
Vision-based 1D barcode localization method for scale and rotation invariant
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Binary ClassificationUsing Support Vector Machines(linear kernel) in the Breast Cancer dataset569 instances, 30 features60%/40% Train/Test set5 fold cross validationAccuracy achieved 96% andPrecision/Recall 96 %/97 %
This repository contains data and codes that implement common machine learning algorithms for machinery condition monitoring task.
nd891-1 / cd0360 Introduction to Computer Vision
Fine-tune CNN in Keras
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
the assignment of http://web.stanford.edu/class/cs234/index.html
CS 294: Deep Reinforcement Learning, Fall 2017
Deep Reinforcement Learning
Exercise notebooks for CVND.
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces