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https://github.com/johnowhitaker/tglcourse

The Generative Landscape - a course on generative modelling (currently unfinished). Join our Discord: https://discord.gg/vSjhr8xb4g
https://github.com/johnowhitaker/tglcourse

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The Generative Landscape - a course on generative modelling (currently unfinished). Join our Discord: https://discord.gg/vSjhr8xb4g

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README 

        
The Generative Landscape

================



**UPDATE: I’m taking a break from development for a while, my

apologies.** The first \~5 lessons are mostly done, I’ve removed the

unfinished ones (red in the diag below) from the outline on the left for

now.



The [Discord](https://discord.gg/vSjhr8xb4g) is a good place to go for

updates and to find people who might be keen on discussing things and

working on projects.



![](index_files/figure-gfm/cell-2-output-1.png)



Check out the [Getting Started](./00_Getting_Started.ipynb) page for an

overview of the course and more information on things like study

groups.



Check out the

[Library](https://johnowhitaker.github.io/tglcourse/library.html) page

for information on the `tglcourse` library that accompanies the course.



### FAQs



Some course-related questions that have tricked in: 
 - ‘Any

prerequisites?’: If you’re comfortable with a bit of Python and using

Jupyter Notebooks you should be ready to take this course. No prior deep

learning knowledge is assumed, and although we will dive fairly deep

fairly quickly I’ve tried to link lots of resources wherever possible.


 - ‘How long is the course?’: There are 15 core lessons plus a

number of bonus notebooks. You can take them at whatever pace you find

enjoyable, or join in with a study group on Discord to work through one

a week.
 - ‘Does the HuggingFace Diffusion Model Class supercede

this?’: I’ve teamed up with HF to help build their [diffusion model

class](https://github.com/huggingface/diffusion-models-class), sharing a

lot of material between it and this course. Both will have unique things

to add - I’d recommend signing up for theirs even if you’re working

through ‘The Generative Landscape’ as well, since there will be extra

projects and fun community activities to get involved in with that one

too. 
 - ‘Can genereative landscape be real?’: Yes, if you subscribe

to [David Chalmers ‘simulation

realism’](https://www.thephilosopher1923.org/post/taking-simulation-seriously)

;)
 - ‘Will it include stable diffusion?’: Yes, see lesson 14
 -

‘Will we learn how to adapt these method to 3d?’: At some point I’d love

to add more 3D related content - stay tuned for bonus notebooks once the

craziness of the course launch calms down.
 - ‘I hope this includes

generating text!’: It does! Lessons 9 - 11 deal with modelling

sequences, and should set you up with everything you need to make models

which can spew out AI-generated gibberish all day long.
 - ‘My

question isn’t in the FAQs?’: OK, so I made this one up. But if you have

a burning question, send it to me and I’ll add it here.



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