punitiisc's repositories
ROS2-Self-Driving-Car-AI-using-OpenCV
ROS2 Self Driving Car using Deeplearning and Object Tracking through openCV
OpenAI-Reinforcement-Learning-with-Custom-Environment
This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.
02_Python_Datatypes
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
Hands-On-Deep-Learning-Algorithms-with-Python
Hands-On Deep Learning Algorithms with Python, By Packt
ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
fellowship
Flowers 102 Classification Using ResNet50
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.
youtube-tutorials
A collection of the code I have written for my YouTube tutorials.
devops-master-class
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
10_Python_Pandas_Module
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
08_Python_Date_Time_Module
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime
Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-3rd-Edition
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.
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
ieee-etfa2020-paper
Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data
turbofan-remaining-life-prediction
Remaining Useful Life (RUL) prediction for Turbofan Engines
Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
reinforcement-learning-an-introduction-second-edition
Python implementation of RL algorithms presented in Richard Sutton and Andrew Barto's book Reinforcement Learning: An Introduction (second edtion)
Time-Series-Analysis
code and data for the time series analysis vids on my YouTube channel
LiDAR-Road-Analysis
Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, output the road properties such as road boundaries, lane markings, lane geometry.