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get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

hadoop-common

haystack

:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

hello-maven3

high-dimensional-deep-learning

Science des données Saison 4 : Apprentissage en grande dimension, Données fonctionnelles, Détection d'anomalies, Introduction au Deep Learning

hortonworks

Hortonworks Administration

hortonworks-codes

hortonworks administration

intro-python

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

intro-r

R pour Statistique et Science des Données -- Démarrer, syntaxe, graphes, éléments de programmation

intro_mlnd

Projects for the Introduction to Machine Learning Nanodegree at Udacity. Nanodegree link: https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230

les-tutos-datacorner.fr

Ce répertoire contient les sources des tutos du site datacorner.fr

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

maven-project

Simple projet maven

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml_py

Simple Python code implementations of Machine Learning problems and techniques

mltraining

Machine Learning Training for Data Science and AI ... Bootcamp in progress

mobiusloop-ubiquitous-journey

🧰 Open Innovation Labs Developer Experience - all the tooling for starting a residency

model-analysis

Model analysis tools for TensorFlow

modern_data_platform

Sample configuration to deploy a modern data platform.

msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

paind

Projects and notebooks for the PAIND Udacity nanodegree

prml

PRML algorithms implemented in Python

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 ;)

profiling_pyspark

projetct-monia-tutorials

MONAI Tutorials

python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp - Self-paced bootcamp (Udemy)

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.