12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
machine-learning
python
data-science
ml
scikit-learn
r
machine-learning-algorithms
machinelearning
education
scikit-learn-python
machinelearning-python
Обновлено 2024-09-16 23:43:09 +03:00
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning
deep-learning
data-science
python
automated-machine-learning
natural-language-processing
hyperparameter-optimization
automl
jupyter-notebook
timeseries-forecasting
tuning
classification
finetuning
hyperparam
natural-language-generation
random-forest
regression
scikit-learn
tabular-data
Обновлено 2024-09-06 07:00:13 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-08-31 02:58:02 +03:00
10 Weeks, 20 Lessons, Data Science for All!
Обновлено 2024-08-27 19:00:02 +03:00
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
azure
python
workshops
hackathons
labs
classroom
computer-science
faculty
students
tech
tech-resources
tech-talks
Обновлено 2024-06-05 18:04:19 +03:00
Style Normalization and Restitution for Domain Generalization and Adaptation
Обновлено 2023-10-04 00:19:13 +03:00
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
machine-learning
python
data-science
ner
synthetic-data
synthetic-data-generation
data-generation
ocr-recognition
synthetic-images
text-alignment
Обновлено 2023-07-20 18:03:32 +03:00
A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services
Обновлено 2023-03-28 19:46:36 +03:00
Main purpose of this repo is to generate fake data to support demos, tests and sandboxes. This repo contains open source code in python, designed to work inside a Synapse workspace. It is built inside a Synapse notebook which fills all the tables of any industry database model.
Обновлено 2022-06-12 22:11:05 +03:00
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
nlp
ner
classification
question-answering
dstoolkit
machine-reading-comprehension
summarization
transformer
Обновлено 2022-01-10 02:07:54 +03:00
AutoML code generation
Обновлено 2021-10-05 19:31:01 +03:00
The Workspace Planning Tool helps facilities managers and other workspace planners optimize seating arrangements and floorplans using Workplace Analytics collaboration data. This stand-alone tool is a series of Jupyter notebooks you can run locally on your machine.
microsoft
jupyter
jupyter-notebook
planning
jupyter-notebooks
layout
layout-algorithm
space
space-planning
workspace
facilities-management
floorplan
frank-wolfe
Обновлено 2021-07-13 01:33:27 +03:00
Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Обновлено 2020-12-16 15:51:21 +03:00
Sample code for Channel 9 Python for Beginners course
Обновлено 2020-10-14 19:44:17 +03:00
FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for Atari games, which can learn to play Atari games automatically by predicting return distribution in the form of a fully parameterized quantile function.
Обновлено 2020-09-20 15:59:29 +03:00
Sample code for Channel 9 Python for Beginners course
Обновлено 2020-07-13 19:33:16 +03:00
Example of using HyperDrive to tune a regular ML learner.
Обновлено 2020-04-08 00:51:45 +03:00