[Forensic Architecture] Justice Vision / "Vision์œผ๋กœ ์ •์˜ ๊ตฌํ˜„"
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๐Ÿ‘พ Deep Learning
https://forensic-architecture.org/ Investigations ← Forensic Architecture Forums Legal Process, Exhibition, Human Rights Report, Truth Commission, Web Platform forensic-architecture.org Wikipedia ๋”๋ณด๊ธฐ Wikipedia ํฌ๋ Œ์‹ ์•„ํ‚คํ…์ฒ˜(Forensic Architecture) ๋Š” ๋Ÿฐ๋˜ ๋Œ€ํ•™๊ต ๊ณจ๋“œ์Šค๋ฏธ์Šค(Goldsmiths) ์— ๊ธฐ๋ฐ˜์„ ๋‘” ๋‹คํ•™๋ฌธ์  ์—ฐ๊ตฌ ๊ทธ๋ฃน์œผ๋กœ , ๊ฑด์ถ• ๊ธฐ๋ฒ•๊ณผ ๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ „ ์„ธ๊ณ„์˜ ๊ตญ๊ฐ€ ํญ๋ ฅ ๋ฐ ์ธ๊ถŒ ์นจํ•ด ์‚ฌ๋ก€๋ฅผ ์กฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ์ด ๊ทธ๋ฃน์€ ๊ฑด์ถ•๊ฐ€ Eyal Weizman ์ด ์ด๋Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค . [1] ๊ทธ๋Š” Forensic Archite..
[DATA] ACNE04 Dataset download(์—ฌ๋“œ๋ฆ„ ๋ณ‘๋ณ€ ๊ฒ€์ถœ)
ยท
๐Ÿ‘พ Deep Learning
https://github.com/xpwu95/LDL
[OpenAI] Whisper - Robust Speech Recognition via Large-Scale Weak Supervision
ยท
๐Ÿ‘พ Deep Learning
https://arxiv.org/abs/2212.04356 Robust Speech Recognition via Large-Scale Weak Supervision We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize well to standard arxiv.org Robust Speech Recognition via Large-Sca..
Demand forecasting in logistics
ยท
๐Ÿ‘พ Deep Learning
http://www.diva-portal.org/smash/get/diva2:1337390/FULLTEXT02.pdf
CM3leon(.Meta)
ยท
๐Ÿ‘พ Deep Learning
CM3leon: Multi-modal Generative AI ์ตœ๊ทผ ๋ช‡ ๋‹ฌ ๋™์•ˆ ์ƒ์„ฑ AI ๋ชจ๋ธ ๋ถ„์•ผ์—์„œ๋Š” ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ์™€ ์ด๋ฏธ์ง€ ์ƒ์„ฑ์„ ์ค‘์‹ฌ์œผ๋กœ ์ƒ๋‹นํ•œ ๋ฐœ์ „์ด ์ด๋ฃจ์–ด์กŒ์Šต๋‹ˆ๋‹ค. ๊ทธ ์ค‘ ํ•˜๋‚˜์ธ CM3leon์€ ์ด๋ฏธ์ง€์—์„œ ํ…์ŠคํŠธ๋ฅผ ์ƒ์„ฑํ•˜๊ณ  ํ…์ŠคํŠธ์—์„œ ์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์ค‘ ๋ชจ๋‹ฌ ๋ชจ๋ธ์ž…๋‹ˆ๋‹ค. CM3leon์— ๋Œ€ํ•œ 3๊ฐ€์ง€ ์ฃผ์š” ์ธ์‚ฌ์ดํŠธ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค: CM3leon์€ ๋‹ค์ค‘ ๋ชจ๋‹ฌ ๋ชจ๋ธ๋กœ์„œ ํ…์ŠคํŠธ-์ด๋ฏธ์ง€ ์ƒ์„ฑ์—์„œ ์ตœ์ฒจ๋‹จ ์„ฑ๋Šฅ์„ ๋‹ฌ์„ฑํ•˜๋Š” ๋‹ค์žฌ๋‹ค๋Šฅํ•˜๊ณ  ํšจ์œจ์ ์ธ ๋ชจ๋ธ์ž…๋‹ˆ๋‹ค. ์ด์ „์˜ ํŠธ๋žœ์Šคํฌ๋จธ ๊ธฐ๋ฐ˜ ๋ชจ๋ธ๋ณด๋‹ค ์ ์€ ์ปดํ“จํŒ… ํŒŒ์›Œ๋กœ ํ›ˆ๋ จ๋˜์—ˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , CM3leon์€ ํ’ˆ์งˆ๊ณผ ํšจ์œจ์„ฑ ์ธก๋ฉด์—์„œ ๋Šฅ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค. CM3leon์€ ๋งˆ์Šคํฌ๋œ ํ˜ผํ•ฉ ๋ชจ๋‹ฌ(CM3) ๋ชจ๋ธ๋กœ, ๋‹ค๋ฅธ ์ด๋ฏธ์ง€์™€ ํ…์ŠคํŠธ ์ฝ˜ํ…์ธ ์˜ ์ž„์˜์˜ ์‹œํ€€์Šค์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ํ…..
[CS324] Introduction
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๐Ÿ‘พ Deep Learning
https://stanford-cs324.github.io/winter2022/lectures/introduction/ Introduction Understanding and developing large language models. stanford-cs324.github.io CS324์— ์˜ค์‹  ๊ฒƒ์„ ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค! ์ด ๊ณผ์ •์€ ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ์˜ ์ดํ•ด์™€ ๊ฐœ๋ฐœ์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ๊ฐ•์ขŒ์ž…๋‹ˆ๋‹ค. 1. ์–ธ์–ด ๋ชจ๋ธ์ด๋ž€ ๋ฌด์—‡์ธ๊ฐ€์š”? 2. ๊ฐ„๋‹จํ•œ ์—ญ์‚ฌ 3. ์ด ๊ฐ•์ขŒ๊ฐ€ ์™œ ํ•„์š”ํ•œ๊ฐ€์š”? 4. ์ด ๊ฐ•์ขŒ์˜ ๊ตฌ์กฐ 5. ์–ธ์–ด ๋ชจ๋ธ์ด๋ž€ ๋ฌด์—‡์ธ๊ฐ€์š”? 1. ์–ธ์–ด ๋ชจ๋ธ์ด๋ž€ ๋ฌด์—‡์ธ๊ฐ€์š”? ์–ธ์–ด ๋ชจ๋ธ (LM)์˜ ํด๋ž˜์‹ํ•œ ์ •์˜๋Š” ํ† ํฐ ์‹œํ€€์Šค์— ๋Œ€ํ•œ ํ™•๋ฅ  ๋ถ„ํฌ์ž…๋‹ˆ๋‹ค. ํ† ํฐ ์ง‘ํ•ฉ (\sV)๊ฐ€ ์žˆ๋‹ค๊ณ  ๊ฐ€์ •ํ•ด ๋ด…์‹œ๋‹ค. ์–ธ์–ด ๋ชจ๋ธ (p)์€ ๊ฐ๊ฐ์˜ ํ† ํฐ ์‹œํ€€..
[Drag Your GAN] Interactive Point-based Manipulation on the Generative Image Manifold
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๐Ÿ‘พ Deep Learning
https://vcai.mpi-inf.mpg.de/projects/DragGAN/ Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold --> Abstract Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects. Existing approaches gain controllability of generative adversarial net vcai.mpi-i..
[RL] Stable-baselines3 gym -> gymnasium
ยท
๐Ÿ‘พ Deep Learning
RL ๊ณ„๋ณด๋กœ ๋ณด๋ฉด OpenAI์™€ Deepmind์ด ๋‘˜์ด ๊ฑฐ์˜ ๋‹คํ–ˆ๋‹ค๊ณ  ๋ณด๋ฉด ๋œ๋‹ค.. ์ฝ”๋“œ๋ฉฐ paper๋ฉฐ ํ•˜์ง€๋งŒ ์š”์ฆ˜ RL ๋ณด๋‹ค NLP LLM ๋ชจ๋ธ์— ๊ด€์‹ฌ์ด ์ ๋ฆฌ๋ฉด์„œ ๊ณผ๊ฑฐ OpenAI baseline git ์ด๋‚˜ Deepmind rl acme git์ด ์—…๋ฐ์ดํŠธ ๋˜์ง€ ์•Š๊ณ  ์žˆ๋‹ค. ๊ทธ ์‚ฌ์ด gym์˜ ํ›„์› ์žฌ๋‹จ์ด ๋ฐ”๋€Œ๋ฉด์„œ gymnasium์œผ๋กœ ๋ณ€ํ˜•๋˜๊ณ  ์ผ๋ถ€ return ๋ฐฉ์‹์ด ๋ฐ”๋€Œ์—ˆ๋‹ค. ๊ทธ๋ž˜์„œ ๋Œ€๋ถ€๋ถ„์˜ 2~3๋…„์ด ์ง€๋‚œ ์ฝ”๋“œ๋“ค์€ ๊ณผ๊ฑฐ gym๋ฒ„์ „์˜ ํŒจํ‚ค์ง€๊ฐ€ ์•„๋‹ˆ๋ฉด ํ˜ธํ™˜์ด ๋˜์ง€ ์•Š๊ณ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋‹คํ–‰ํžˆ stable-baselines์—์„œ ์ตœ๊ทผ gymnasium์œผ๋กœ ์ฝ”๋“œ๋ฅผ ๋ณ€๊ฒฝํ•ด ์ฃผ์—ˆ๋‹ค. ์ด ํŒจํ‚ค์ง€๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ๊ธฐ์กด ๋Œ€๋ถ€๋ถ„์˜ PPO, HER, DDPG ๋“ฑ RL model์„ ์‚ฌ์šฉ์ด ๊ฐ€๋Šฅํ•˜๊ณ  custom ํ™˜๊ฒฝ๋„ ๋งŒ๋“ค ์ˆ˜ ์žˆ๊ฒŒ..
๋‹คํ–ˆ๋‹ค
'๐Ÿ‘พ Deep Learning' ์นดํ…Œ๊ณ ๋ฆฌ์˜ ๊ธ€ ๋ชฉ๋ก