Selected topics (1)

64 Repositories

Page 1 / 3
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Contributors
Maxime Labonne Maxime Labonne
Pietro Monticone Pietro Monticone
Shrinija Kummari Shrinija Kummari
Large language models Python Machine learning Artificial intelligence
Days since last push
235
License
apache-2.0
:satellite: Simple and ready-to-use tutorials for TensorFlow
Contributors
Sina Torfi Sina Torfi
Quinn H Koike Quinn H Koike
Avinash Sajjanshetty Avinash Sajjanshetty
Ray Ray
QiMing LIU QiMing LIU
+ 4 more
Machine learning
Days since last push
1400
License
mit
Open Machine Learning Course
Contributors
Yury Kashnitsky Yury Kashnitsky
ShiuanDinq ShiuanDinq
Baha Celik Baha Celik
Alex Dadukin Alex Dadukin
Sergey Parshukov Sergey Parshukov
+ 8 more
Machine learning
Days since last push
25
License
other
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Contributors
Lex Fridman Lex Fridman
Li Ding Li Ding
Ochuko A. Ochuko A.
Adnan Siddiqui Adnan Siddiqui
Machine learning Data science
Days since last push
999
License
mit
Understanding Deep Learning - Simon J.D. Prince
Contributors
udlbook udlbook
Tom Heaton Tom Heaton
Pietro Monticone Pietro Monticone
Youcef Rahal Youcef Rahal
aleksandrskoselevs aleksandrskoselevs
+ 19 more
Artificial intelligence Python Machine learning
Days since last push
72
License
other
Open Machine Learning course
Contributors
Radoslav Neychev Radoslav Neychev
Girafe AI Girafe AI
Vladislav Goncharenko Vladislav Goncharenko
Valery Marchenkov Valery Marchenkov
H-Chlor H-Chlor
+ 1 more
Machine learning
Days since last push
6
License
mit
A Code-First Introduction to NLP course
Contributors
Rachel Thomas Rachel Thomas
Jeremy Howard Jeremy Howard
Joseph Catanzarite Joseph Catanzarite
Sylvain Gugger Sylvain Gugger
Machine learning
Days since last push
1286
License
-
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Contributors
Phillip Lippe Phillip Lippe
Gabriele Cesa Gabriele Cesa
Danilo de Goede Danilo de Goede
Pietro Monticone Pietro Monticone
Miltiadis (Miltos) Kofinas Miltiadis (Miltos) Kofinas
+ 19 more
Machine learning
Days since last push
119
License
mit
NMA Computational Neuroscience course
Contributors
Ella Batty Ella Batty
Spiros Chavlis Spiros Chavlis
Michael Waskom Michael Waskom
Zoltan Zoltan
Patrick Mineault Patrick Mineault
+ 57 more
Statistics Machine learning Python Pathways and Networks Artificial intelligence
Days since last push
10
License
cc-by-4.0
a curated list of R tutorials for Data Science, NLP and Machine Learning
Contributors
Ujjwal Karn Ujjwal Karn
General R Machine learning
Days since last push
1298
License
mit
Machine learning in Python with scikit-learn MOOC
Contributors
Loïc Estève Loïc Estève
Guillaume Lemaitre Guillaume Lemaitre
Olivier Grisel Olivier Grisel
Arturo Amor Arturo Amor
Gael Varoquaux Gael Varoquaux
+ 32 more
Machine learning Python
Days since last push
17
License
cc-by-4.0
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Contributors
Wilhelm Kirchgässner Wilhelm Kirchgässner
Darius Jakobeit Darius Jakobeit
Oliver Wallscheid Oliver Wallscheid
Maximilian Schenke Maximilian Schenke
Marvin Meyer Marvin Meyer
+ 4 more
Machine learning
Days since last push
266
License
other
Deep Learning for Coders, 2020, the website
Contributors
Jeremy Howard Jeremy Howard
Theiss Heilker Theiss Heilker
Vishnu Subramanian Vishnu Subramanian
Joe Dockrill Joe Dockrill
Jan Van de Poel Jan Van de Poel
+ 23 more
Machine learning Statistics
Days since last push
1435
License
apache-2.0
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contributors
Michael Chungyoun Michael Chungyoun
Britnie Carpentier Britnie Carpentier
Courtney Thomas Courtney Thomas
GabeAu79 GabeAu79
puv-sreev puv-sreev
+ 1 more
Protein structure Python Machine learning Artificial intelligence
Days since last push
164
License
mit
Ways of doing Data Science Engineering and Machine Learning in R and Python
Contributors
Jose A Dianes Jose A Dianes
Guillaume Legoy Guillaume Legoy
The Gitter Badger The Gitter Badger
Bitdeli Chef Bitdeli Chef
Data science R Python Machine learning
Days since last push
1982
License
other
The biggest collection of R books (and maybe later some other resources too)
Contributors
Oscar Baruffa Oscar Baruffa
Eric Leung Eric Leung
Matt Roumaya Matt Roumaya
Lluís Revilla Lluís Revilla
Bryan Shalloway Bryan Shalloway
+ 39 more
R Data science Data visualization Machine learning Statistics Version control Workflows
Days since last push
155
License
-
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
Contributors
Bradley Boehmke Bradley Boehmke
General Data science Machine learning
Days since last push
812
License
-
A collection of Galaxy-related training material
Contributors
Helena Helena
Saskia Hiltemann Saskia Hiltemann
Bérénice Batut Bérénice Batut
Björn Grüning Björn Grüning
Wendi Bacon Wendi Bacon
+ 278 more
Galaxy General Genomics Next generation sequencing Transcriptomics RNA-seq Single-cell sequencing Variant analysis ATAC-seq Comparative genomics ChIP-seq Epigenetics Genome annotation Genome assembly Metagenomics Microbiology Long read sequencing Metabolomics Proteomics Data management FAIR data Reproducibility Data science Statistics Machine learning Snakemake R Python Unix/Linux Version control
Days since last push
0
License
mit
Tutorial on large language models for genomics
Contributors
Raphael Mourad Raphael Mourad
Large language models Genomics Machine learning Artificial intelligence
Days since last push
480
License
-
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Contributors
Raphael Sonabend-Friend Raphael Sonabend-Friend
Michel Lang Michel Lang
Patrick Schratz Patrick Schratz
Marc Becker Marc Becker
Sebastian Fischer Sebastian Fischer
+ 37 more
Machine learning R
Days since last push
4
License
other
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
Contributors
Julia Silge Julia Silge
Emil Hvitfeldt Emil Hvitfeldt
Y. Yu Y. Yu
fellennert fellennert
Desirée De Leon Desirée De Leon
+ 2 more
Machine learning Data science R
Days since last push
209
License
other
Workshops presented by the Gladstone Bioinformatics Core
Contributors
Natalie Gill Natalie Gill
Ayushi Agrawal Ayushi Agrawal
reubenthomas reubenthomas
Kristina Hanspers Kristina Hanspers
MichelaTr MichelaTr
+ 5 more
General R Version control Genomics Transcriptomics Single-cell sequencing RNA-seq Pathways and Networks Data visualization Statistics ATAC-seq Machine learning Unix/Linux
Days since last push
6
License
-
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Contributors
Pablo Casas Pablo Casas
Pablo Seibelt Pablo Seibelt
Chip Oglesby Chip Oglesby
Data science Statistics Machine learning
Days since last push
897
License
cc-by-sa-4.0
Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)
Contributors
Salvatore Raieli Salvatore Raieli
General Machine learning
Days since last push
345
License
apache-2.0
Understanding the theory behind UMAP
Contributors
Andy Coenen Andy Coenen
Adam Pearce Adam Pearce
Kyle Willett Kyle Willett
Single-cell sequencing Data visualization Data science Machine learning Statistics
Days since last push
96
License
apache-2.0

About

Glittr.org is a curated list of educational material for the computational life sciences.

All material is:

  • In a GitHub or GitLab repository
  • Free to use
  • Written in markdown or similar

If you want to cite or know more about Glittr.org, check out our paper in PLOS ONE!

NOTE: This list of courses is selected only based on the above criteria.
There are no checks on quality. In case there is no license associated with the repository, copyright belongs to the author, and you cannot copy or modify it for any reason other than personal use.

Terms of use

Developed, maintained and curated by:
Geert van Geest
Patricia Palagi
Yann Haefliger

Data last updated: 2026-09-28 13:23:55

Swiss Institute of Bioinformatics

Initiative of the the SIB Training Group.
Interested in SIB courses? Visit our website.

Topics