kizombaciao's repositories
Deep-LearningAI
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
42-Piscine-PHP
Ecole 42 - Piscine PHP / Mysql / Html / Css / Javascript
BayesianRL
Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
cchao_dl_projects
Deep Learning Projects
dart_examples
For learning dart syntax
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
derivatives
derivatives analytics
DLAndrewNg
Coursera
hamiltonian_monte_carlo_talk
Essay on Hamiltonian Monte Carlo in PyMC3
LearnPython
My Python Codes
Piscine42April2019
Piscine 42 March-April 2019
piscine_42
Ma piscine a @42Born2Code
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pydata-docker-tutorial
Tutorial given at PyData LA 2018
pymc3_vs_pystan
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
StochasticDriftRL
Example code showing the issue of stochastic variable drift for reinforcement learning
UdacityDLPyTorch
Intro to Deep Learning with PyTorch - Udacity