One Humanities

Thought is a terrible thing to waste

Adam Curtis

The Century of the Self

Diffusion Bee, the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed

#documentary

#psychology. sigmund freud

Riley Goodside

GPT‑3 to answer calculation/math questions

Prompting GPT‑3 via zero-shot instruction to answer calculation/math questions by consulting a Python REPL

#machine learning

#gpt-3

#python

Tanishq Abraham

Gradio + HuggingFace Spaces: A Tutorial

Gradio hosting on HuggingFace Spaces is the easiest way to do showcase your machine learning model. hosting on HuggingFace Spaces. It takes <10 minutes to deploy a model!

Lilian Weng

Math behind Neural Tangent Kernel

Deep dive into the motivation and definition of Neural tangent kernel (NTK) (Jacot et al. 2018). NTK is a kernel to explain the evolution of neural networks during training via gradient descent.

#mathematics

#machine learning

Travis Hoppe

Seamless Textures with Stable Diffusion Notebook

Generate seamless textures with Stable Diffusion using in-painting

#machine learning

#gpt-3

#python

#stable diffusion

Edan Meyer

Stable Diffusion - What, Why, How?

Stable Diffusion is a text-based image generation machine learning model released by Stability.AI. It's default ability generated image from text, but the model is open source which means that it can also do much more. In this video I explain how Stable Diffusion works at a high level, briefly talk about how it is different from other Diffusion-based models, compare it to DALL-E 2, and mess around with the code.

#machine learning

#stable diffusion