Applied ML Bootcamps ML Frameworks
Intensive, project-based course materials and bootcamp content focused on practical machine learning applications in specific domains (finance, DSP, music, analytics). Does NOT include theoretical foundations, general tutorials, or pure academic lecture notes without applied components.
There are 58 applied ml bootcamps frameworks tracked. 7 score above 50 (established tier). The highest-rated is girafe-ai/ml-course at 61/100 with 3,437 stars.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
girafe-ai/ml-course
Open Machine Learning course |
|
Established |
| 2 |
Yorko/mlcourse.ai
Open Machine Learning Course |
|
Established |
| 3 |
andriygav/MachineLearningSeminars
Семинары А.В. Грабового к лекционному курсу К.В. Воронцова. |
|
Established |
| 4 |
MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning |
|
Established |
| 5 |
dssg/mlforpublicpolicylab
Repo for ML for Public Policy Lab course at CMU |
|
Established |
| 6 |
purushottamkar/ml19-20w
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering |
|
Established |
| 7 |
purushottamkar/ml19-20a
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering |
|
Established |
| 8 |
7bits/ml-courses-7bits
Материалы курса по Машинному Обучению для стажировки в 7bits |
|
Emerging |
| 9 |
drscotthawley/DLAIE
Materials for Hawley's Deep Learning & AI Ethics course |
|
Emerging |
| 10 |
vijay-jaisankar/ML_TA_IIITB_2022
Contains material relevant to the AI511 Machine Learning Course |
|
Emerging |
| 11 |
JannesKlaas/MLiFC
Course Material for the machine learning in financial context bootcamp |
|
Emerging |
| 12 |
dayekb/Study
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю... |
|
Emerging |
| 13 |
mdeff/ntds_2016
Material for the EPFL master course "A Network Tour of Data Science", edition 2016. |
|
Emerging |
| 14 |
jacopotagliabue/MLSys-NYU-2022
Slides, scripts and materials for the Machine Learning in Finance Course at... |
|
Emerging |
| 15 |
davidrosenberg/mlcourse
Machine learning course materials. |
|
Emerging |
| 16 |
jmartinezheras/2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018 |
|
Emerging |
| 17 |
DHI/Intro_ML_course
Course material for "Introduction to Machine Learning for Water Professionals" |
|
Emerging |
| 18 |
mciwing/mciwing.github.io
Code Campus - Python Courses 🚀 |
|
Emerging |
| 19 |
christianwarmuth/openhpi-kipraxis
Materialien zum openHPI Online-Kurs "Künstliche Intelligenz und Maschinelles... |
|
Emerging |
| 20 |
averkij/mstu-nlp-course
ML Course created for Bauman Moscow State Technical University |
|
Emerging |
| 21 |
MasterLegend/PyML
Python and Machine Learning Course |
|
Emerging |
| 22 |
AIMLC-IITD/Summer-of-ML-2021
[SOML'21] Reference material, tutorial notebooks and other resources for... |
|
Emerging |
| 23 |
dssg/MLforPublicPolicy
Class resources for CAPP 30254 (Machine Learning for Public Policy) |
|
Emerging |
| 24 |
yandexdataschool/MLatImperial2017
Materials for the course of machine learning at Imperial College organized... |
|
Emerging |
| 25 |
lysukhin/vk-academy-dl-cv
"Basic Deep Learning" and "NNs for Computer Vision" courses materials at VK... |
|
Emerging |
| 26 |
Dyakonov/PZAD
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова) |
|
Emerging |
| 27 |
UVADS/DS-3001
DS 3001: Foundations of Machine Learning |
|
Emerging |
| 28 |
Dyakonov/DL
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова) |
|
Emerging |
| 29 |
kehkok/nilmtk-ukdale
Group of Apprentices to learn NILMTK with UK-DALE |
|
Emerging |
| 30 |
wisoffe/Courses
Notes and practical tasks for DS/ML/AI courses |
|
Emerging |
| 31 |
esviswajith95/MLT
Notebooks from ML Techniques course at IITM Online degree programme |
|
Emerging |
| 32 |
esviswajith95/MLP
Notebooks from ML Practice course at IITM Online degree programme |
|
Emerging |
| 33 |
projeduc/ESI_ML
Machine Learning support course for ESI, Algiers, Algeria |
|
Emerging |
| 34 |
jake1412/MSAI_DL_Recitations
Recitations materials for MSAI437: Deep Learning |
|
Emerging |
| 35 |
equinor/ml-pitfalls
Material for a short course on pitfalls in machine learning |
|
Emerging |
| 36 |
GitiHubi/courseMLDL
A series of interactive labs we prepared for the Introduction into Machine... |
|
Experimental |
| 37 |
capital-G/musikinformatik-sose2021
Course materials for Musikinformatik course SoSe 2021 at RSH Düsseldorf |
|
Experimental |
| 38 |
nishanc/MLforBeginners
Related to the session conducted for Faculty of IT, University of Moratuwa... |
|
Experimental |
| 39 |
oscar-defelice/DSAcademy-lectures
Here is the material for a course I will be giving in a Master of Data Science and AI |
|
Experimental |
| 40 |
vicgalle/ai-ml-course
Materials for the course: AI ML & Analytics |
|
Experimental |
| 41 |
MerkulovDaniil/msai22
Optimization methods course @ MIPT online MSc program. |
|
Experimental |
| 42 |
icharleschen/DSCI-552
DSCI 552: Machine Learning for Data Science |
|
Experimental |
| 43 |
NazarovMichail/Lectures-notes-MIPT
Конспекты лекций магистратуры "Науки о данных" МФТИ |
|
Experimental |
| 44 |
DRMPN/ATP-and-IP
Solutions to "Automatic Text Processing and Image Processing" ITMO course.... |
|
Experimental |
| 45 |
naomitorrisi/MSc-Cancer-Genomics-DataScience
📘 Coursework, notebooks, and scripts for the MSc Cancer Genomics & Data... |
|
Experimental |
| 46 |
darc-reading/darc-training-2025
Practical for NERC/NCEO/DARC Training course on data assimilation and its... |
|
Experimental |
| 47 |
ECOPOM/AgTech_Students_PythonCourse
Python material for agricultural students (ECOPOM) |
|
Experimental |
| 48 |
mriosrivas/DSP-course-material
Coursework material for DSP course. |
|
Experimental |
| 49 |
DieStok/Basic-Machine-Learning-for-Bioinformatics
ML course materials for bioinformatics students following the Basic Machine... |
|
Experimental |
| 50 |
davidrpugh/kaust-dsa-201
Course materials for KAUST DSA 201 |
|
Experimental |
| 51 |
noqtisnox/ml-nulp-course
A collection of labs for "Basics of Smart Technologies & Systems" course at NULP |
|
Experimental |
| 52 |
RyanKor/2021-google-ml-bootcamp
Google Machine Learning Bootcamp 2021 |
|
Experimental |
| 53 |
gabboraron/Computer_Aided_Solution_Processing
In the lecture course, students learn elements of supervised machine... |
|
Experimental |
| 54 |
wahidulalamriyad/oxford-machine-learning-summer-school
ML x Health consists of Bayesian ML, Representation Learning, Graph Neural... |
|
Experimental |
| 55 |
wilsonjefferson/DSSC_SML
Statistical Machine Learning - master's degree course |
|
Experimental |
| 56 |
lithiumdenis/MLSchool
Практические задания летней школы Surf и ПММ ВГУ по машинному обучению и... |
|
Experimental |
| 57 |
kurpenok/omstu
Solutions for problems from training course AMCS OmSTU |
|
Experimental |
| 58 |
ketan1406/mlt-iitm
Graded and Programming(wherever applicable) Assignments for Machine Learning... |
|
Experimental |