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Python Data Science Handbook: full text in Jupyter Notebooks
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 ;)
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Code for Tensorflow Machine Learning Cookbook
From the basics to slightly more interesting applications of Tensorflow
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Repo for the Deep Learning Nanodegree Foundations program.
Content for Udacity's Machine Learning curriculum
A clear, concise, simple yet powerful and efficient API for deep learning.
Principal Component Analysis on music loops
Food detection and recommendation with deep learning
Visual Perception Stack For Self-Driving Cars
My collection of Data Science and Machine Learning notes and Jupyter notebooks
Traffic Management Project - Understanding travel demand and travel patterns within the city.
Estimating HVC action potential parameters using monte carlo markov chains
enginBozkurt / Hands-On-Deep-Learning-Algorithms-with-Python
Forked from sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-PythonMaster Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow