caldmet70
I am a qualified Engineer offering 16 years of cross-functional experience. Contact: caldmet70@gmail.com, kumaparm@isu.edu and +91-7838779082.
Jiangxi University of EngineeringJiangxi, China
caldmet70's Stars
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
spyder-ide/spyder
Official repository for Spyder - The Scientific Python Development Environment
instillai/machine-learning-course
:speech_balloon: Machine Learning Course with Python:
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
jakevdp/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
ndrplz/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
rmcelreath/rethinking
Statistical Rethinking course and book package
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
issus/altium-library
Open source Altium Database Library with over 200,000 high quality components and full 3d models.
thomas-haslwanter/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
jaberg/skdata
Data sets for machine learning in Python
mstaniak/autoEDA-resources
A list of software and papers related to automatic and fast Exploratory Data Analysis
kiteco/kite-python-blog-post-code
Code snippets from Kite blog posts
idaholab/raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
1094401996/machine-learning-coursera
Lecture notes and assignments for coursera machine learning class
julianyulu/Machine-Learning-Notes
Lecture Notes of Andrew Ng's Machine Learning Course
brohrer/taming_matplotlib
Tutorials for getting the most out of Matplotlib
brohrer/how_optimization_works
Ayse-Tekes-Kennesaw-State-University/Vibrations-and-Control-Lab-Handouts
brohrer/byo_decision_tree
Code and data to accompany the Udemy course End-to-end data science: decision trees
brohrer/how_modeling_works
sezan92/RLTutorialKeras
brohrer/build_your_own
A collection of "build your own" projects.
bueroingleuering/Filter_Comparison
This project shows the comparison of a low pass filter with a FFT/iFFT-filter
issus/EnviroSense-Weather-Station
OSHW Weather Station with Digital Relative Humidity, Temperature and Pressure Sensors
issus/Temperature-Sensors
Testing All the Temperature Sensors
caldmet70/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
caldmet70/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
caldmet70/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.