Eric W. K.

Bsc: Med. & Pharm. Biotechnologie '17 🧪🔬

Msc: KI @ UPC' 23 🧠🤖

DS / MLEng @LocariaLondon

[Eric W. K. @LemApex]

@MatthewBerman @martin_casado @bot Yes ! Would be great to use !

[Eric W. K. @LemApex]

@tamaybes 😂😂😂

[Eric W. K. @LemApex]

@albadawee GO

[Eric W. K. @LemApex]

@tapasadhikary Yess! At least some rough ideas of what I think it should do / look like. Most importantly, is to have a vision of the end goal, then the rest is an iterative process as a I code and continue development

[Eric W. K. @LemApex]

@adcock_brett @TheReaderapp unroll please

[Sharif Shameem @sharifshameem]

Introducing Lexica Aperture - a model that can generate realistic looking photographs.

Try the beta out for yourself here. (log in then click the Aperture tab)

https://t.co/k6cQwsUIIf

[Papers with Code @paperswithcode]

🪐 Introducing Galactica. A large language model for science.

Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.

Explore and get weights: https://t.co/jKEP8S7Yfl

[Scott Edelstein @scottedelstein]

The hugging face store is officially open for business 🤗 Tell us what you think! (and check out our on-staff supermodels) https://t.co/sn39pcZwkC

[Sanchit Gandhi @sanchitgandhi99]

Whisper fine-tuning is **here**!

Check out the blog post for a step-by-step guide on fine-tuning Whisper with 🤗 Transformers: https://t.co/03AwUTORLj

Boost WER performance vs zero-shot with as little as 8h of training data 🤯

All on a single Google Colab notebook...

[Tal Stramer @tall]

✨Excited to share a project I've been working on with advising from @karpathy . Introducing https://t.co/4hhV3KfNZi , a practical tool to generate images and videos with AI! 🧵 https://t.co/887oF1EaTU

[Frank Hutter @FrankRHutter]

This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in 1h). Current limits: up to 1k data points, 100 features, 10 classes. 🧵1/6

[Sebastian Raschka @rasbt]

Whoa, way to go @eLife! This is the way! ML journals and conferences, pls take note.

[Vlad Fomenko @tvlfom]

Excited to share that our work on "Learning to Discover and Detect Objects" got accepted to #neurips2022!

🌐: https://t.co/MUlHkSlZjI
📝: https://t.co/aKeZQFCTHz
💻: https://t.co/jPJsbPW6Bx

@Ismail_Elezi Deva Ramanan @lealtaixe @AljosaOsep

[Omar Sanseviero @osanseviero]

🧵How my week is going 🤗

On Monday we launched Diffusion community pipelines, allowing anyone to add new pipelines very easily in the diffusers library. There are 6 already! 🚀

https://t.co/uXWp4IOWjj

[Google AI @GoogleAI]

Introducing UL2, a novel language pre-training paradigm that improves performance of language models across datasets and setups by using a mixture of training objectives, each with different configurations. Read more and grab model checkpoints at https://t.co/A7ZAFNMCY6

[Hugging Face @huggingface]

Scikit-Learn and 🤗 join forces!

With a growing number of tabular classification & regression checkpoints, we believe statistical ML has its place on the HF Hub.

We're excited to partner with sklearn, statistical ML champion, and move forward together.

https://t.co/j3IVGYjFPv

[Swiss National Science Foundation @snsf_ch]

#crowdfunding is suited to financing small, innovative research projects. The SNSF is allocating up to 5000 francs each to projects on the #ScienceBooster channel, which specialises in scientific research and #CitizenScience.

#scicomm #wemakeit
https://t.co/8CySfCYZnS

[Eric W. K. @LemApex]

@TheLeeLab_Chem @micahgallen @ChemKUniversity @UCPH_Research @NobelPrize Well deserved!!!

[Soumith Chintala @soumithchintala]

Amazing video generation from my colleagues at @MetaAI !

[Davis Blalock @davisblalock]

"Language Models Can Teach Themselves to Program Better"

This paper changed my thinking about what future langauge models will be good at, mostly in a really concerning way. Let's start with some context: [1/11]