7456 Open source projects that are alternatives of or similar to Har Keras Coreml

Introduction to pandas Treehouse course

An intro to Python & programming for wanna-be data scientists

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Ways of doing Data Science Engineering and Machine Learning in R and Python

Allstate Kaggle Competition ML Capstone Project

Best Practices on Recommendation Systems

Source material for Python Like You Mean it

Tutorial Sessions for SciPy Con 2019

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Data Science Best Practices with pandas

[tutorial]A functional, Data Science focused introduction to Python

Jupyter notebooks from the scikit-learn video series

SuperComputing 2017 Deep Learning Tutorial

Google Colaboratory Notebooks and Repositories (by @firmai)

This repository provides everything you need to get started with Python for (social science) research.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Best Practices, code samples, and documentation for Computer Vision.

A workshop on data privacy methods for data scientists.

Jupyter notebook and datasets from the pandas Q&A video series

Tutorials and training material for the H2O Machine Learning Platform

Tutorial: Web scraping in Python with Beautiful Soup

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Curso de Introducción a Machine Learning con Python

food image to recipe with deep convolutional neural networks.

PyTorch Tutorial (1.7)

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Quiz & Assignment of Coursera

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Introducing neural networks to predict stock prices

The 3rd edition of course.fast.ai

TensorFlow Basic Tutorial Labs

Efficient Learning of Augmentation Policy Schedules

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Completed assignments and coding challenges from the Lambda School Data Science program.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

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 ;)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Early stopping for PyTorch

Temporary home for fastai v2 while it's being developed

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

📘 The interactive computing suite for you! ✨

Feature exploration for supervised learning

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Support content for my blog

An introduction to network analysis and applied graph theory using Python and NetworkX

An ongoing list of pandas quirks