Here are some links I found interesting this week.
Mafs: React components for interactive math
Muse: Text-To-Image Generation via Masked Generative Transformers
The overfitted brain: Dreams evolved to assist generalization - ScienceDirect
[2301.01379] A Succinct Summary of Reinforcement Learning
trees are harlequins, words are harlequins — gpt-4 prediction: it won't be very useful
Here are some links I found interesting this week.
Null (K.K. Null) - Terminal Beach (Full Album) 1996 - YouTube
How Physics Engines Work - Build New Games
ApplyingML - Papers, Guides, and Interviews with ML practitioners
[2212.04089] Editing Models with Task Arithmetic
Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer – Google AI Blog
How to Focus to Change Your Brain | Huberman Lab Podcast #6 - YouTube
TorToiSe Architectural Design Doc – Non_Interactive – Software & ML
My deep learning rig – Non_Interactive – Software & ML
aseprite/aseprite: Animated sprite editor & pixel art tool (Windows, macOS, Linux)
Upscale to huge sizes and add detail with SD Upscale, it's easy! : StableDiffusion
An Intuitive Explanation of GPT Models - Part 1 | Carter’s Blog
google/zx: A tool for writing better scripts
The Butter Thesis – Nick Grossman
Why and how to write things on the Internet | benkuhn.net
The Films That Influenced Zach Cregger's ‘Barbarian’, a story by Horrorville • Letterboxd
Automating Unity Builds — Part 1 : Unity via Command Line | by Fadhil Noer Afif | Medium
[2110.10819] Shaking the foundations: delusions in sequence models for interaction and control
Here are some links I found interesting this week.
copilot-explorer | Hacky repo to see what the Copilot extension sends to the server
openai/point-e: Point cloud diffusion for 3D model synthesis
What The Heck Is Happening In Japan?
Understanding Zero-Knowledge Proofs in 15 Mins through SNARK and STARK | by Intel Chen | Medium
Staring into the abyss as a core life skill | benkuhn.net
Unity - Developing Your First Game with Unity and C# | Microsoft Learn
Here are some links I found interesting this week.
Before the flood - by Samuel Hammond - Second Best
metaseq/README.md at main · facebookresearch/metaseq
Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text
How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources
Why S4 is Good at Long Sequence: Remembering a Sequence with Online Function Approximation
A Closer Look at Large Language Models Emergent Abilities
[ECCV 2020] NeRF: Neural Radiance Fields (10 min talk) - YouTube
Fishmans - Long Season (Nightcore Mix) - YouTube
[2102.07350] Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Here are some links I found interesting this week.
The shit guide to training with optimized dreambooth stable diffusion
[2212.01349] Nonparametric Masked Language Modeling
The Chinese Civil Examinations | Hilde De Weerdt | Inference
[2209.11142] A Generalist Neural Algorithmic Learner
Illustrating Reinforcement Learning from Human Feedback (RLHF)