KD

art lover, tech addict

[KD @anhkeen]

@jamescodez @langchain 🦜

[agentnative @agentnativedev]

Ever dreamt of being mentored by a celebrity, like a billionaire investor, @RayDalio?

Well, with @langchain, it will take only 30 mins to pick up the brains of the most successful people on earth!

I've got another cool project for you:
1. Download Youtube podcasts and transcribe them with @OpenAI's Whisper
2. Break down transcriptions into useful bits with @langchain's loaders and splitters
3. Create embeddings, load them together with documents into @pinecone for semantic access
3. Use @langchain templates and chains to chat with @RayDalio on the current economic situation and learn how you can invest in inflationary environment!

And you know the drill -> Like, Retweet and I’ll DM the notebook! 📩

Let's kick this thing off! 🚀

[KD @anhkeen]

@reachvaldo 🔥

[KD @anhkeen]

@StargazeZone @RemindMe_OfThis
on March 2nd

[Jure Leskovec @jure]

Excited to announce 2nd major release of Open Grpah Benchmark (OGB), a collection of realistic, large-scale, and diverse benchmark datasets for machine learning with graphs. https://t.co/JjRVj6wovF https://t.co/LEu6V8Fg3f

[Shobeir Fakhraei @shobeirf]

Awesome keynotes tomorrow @mlgworkshop Mining & Learning with Graphs (MLG) & Deep Learning with Graphs (DLG) at #KDD2020.
Schedule and zoom links:
https://t.co/JUJDKh2yBk

@kdd_news, @danaikoutra , @jure ,@feiwang03, @dasongle, @jimeng, @PetarV_93, @TylersNetwork

[Ben Goertzel @bengoertzel]

GPT3 -- Super-cool but not a path to AGI (slightly in-depth blog post by me) https://t.co/a09cwsFsG1

[KD @anhkeen]

https://t.co/zIoMeKysCN

[Denny Britz @dennybritz]

The authors of this paper analyzed 1,058 arXiv papers and plotted various benchmarks against the increase in compute requirements, arguing that the current progress is largely driven by more compute and may become unsustainable soon: https://t.co/joWHnH3QXx

[Sebastian Raschka @rasbt]

Great #SciPy2020 ML talk by @jacobml_mx on "Learning from Evolving Data Streams:" https://t.co/n1SURIsZ9n. ML on streaming data is sth I never worried about in my research projects, but it's very interesting to think about! Also see scikit-multiflow: https://t.co/jklNMJgjdU

[elvis @omarsar0]

The Machine Learning Summer School

Just came across this great opportunity to attend online lectures which will cover machine learning topics like causal AI, learning theory, and meta-learning, and much more.

I will definitely attend a few of these. 😇

https://t.co/kG0GESa7Ps

[Luca Pappalardo @lucpappalard]

Our last report about human mobility & #COVID19 in Italy ➡️ https://t.co/UpefmJpPFN. We find striking relationships between 1⃣negative variation of mobility and net reproduction number 2⃣lockdown delay and number of confirmed SARS-CoV-2 infections #COVID19italia

[Hugging Face @huggingface]

Bored at home? Need a new friend?
Hang out with BART, the newest model available in transformers (thx @sam_shleifer) , with the hefty 2.6 release (notes: https://t.co/16M3eqAIcy). Now you can get state-of-the-art summarization with a few lines of code: 👇👇👇

[Denny Britz @dennybritz]

Just found this gem: https://t.co/nt5UGtqoV6

Algorithms from Bishop's legendary "Pattern Recognition and Machine Learning" book implemented in Python. And not just that, but the code is extremely clean, beautiful, and well-documented.

[hardmaru @hardmaru]

SciPy 1.0: fundamental algorithms for scientific computing in Python

“The development cost of SciPy is estimated in excess of $10M. Yet the project is largely unfunded, having been developed predominantly by graduate students in their free time”

https://t.co/A1Ee81Snsv

[Ferenc Huszár @fhuszar]

Judea Pearl claims all we do in ML is curve fitting. I wrote this post to explain that claim and introduce the basics of causal inference to ML folks.

Machine Learning beyond Curve Fitting: An Intro to Causal Inference and do-Calculus
https://t.co/1osm0VcaaR

[Moritz Stefaner @moritz_stefaner]

✨ M U L T I P L I C I T Y : How does Paris look through the lens of thousands of photographers? Get lost in image space in this immersive installation at #123data / @Fondation_EDF https://t.co/HEhvTLKArF #dataviz #datavis #installation #ai #ml ✨

[Olivier Grisel @ogrisel]

Slides and notebooks for the deep learning course @CharlesOllion and I taught at @UnivParisSaclay https://t.co/YITTmgGehg recsys vision nlp

[WSDM Conference @WSDMSocial]

The proceedings for #WSDM2017 are available online and accessible through https://t.co/iXOvFzl3EC

[Paris @Paris]

Les photos du Paris de 1900 se fondent dans le Paris d'aujourd'hui http://t.co/WIbvjSXC8G via @Golem_13