25 Github Repositories Every Developer Should Follow: 🧵👇🏻

Crazy working machine using teamviewer to edit code while waiting for food at Sunday night....😥😥😥

Attending #AIChE2021 in-person today? Join our talk on enhancing biopharma product development using digital tools. Session: Advances in Process Design II Location: Sheraton Back Bay, Back Bay Ballroom C Date: Wednesday, Nov 10 1:33 PM @Papathan_Lab @AIChECAST10 American Institute of Chemical Engineers (AIChE)

Big surprise from my love😍😍Then back to work together...🤣🤯

Our latest paper on using reinforcement learning to ingetrate process design and control is out! with Max Mowbray, @maria_papathan, Antonio del Rio Chanona, and Panos Petsagkourakis. Free access is available to view and download the paper until 15th July 2022 from: authors.elsevier.com/a/1f8SLx-vuQkg5

DeepMind & UCL Deep Learning Lecture Series 12 lectures on different deep learning algorithms and techniques in natural language processing, vision, generative modeling, etc... All lectures and presentations are free and you can take them at your pace. youtube.com/playlist?list=…

Forgot to tweet the online location: tobydriscoll.net/fnc-julia/

めちゃくちゃカッコ良くして下さっております 凄すぎる…

Pretty neat repo with a bunch of algos implemented from scratch for learning purposes. From ML, to Computer Vision, to more standard Computer Science techniques. 👉 github.com/TheAlgorithms/…

A few weeks ago we saw group members present at the Sargent Centre PSE Research Day. Congrats to everyone for the great research!

📢 Please join us for our upcoming #PREMIERE webinar, "#Bayesian #optimization and #design of #experiments" by @RuthMisener. 🗓️ Wednesday 19th Oct 2022 ⏲️ 14:00 (Europe/London) cassyni.com/events/YSekbsu… #MachineLearning #DataScience #PREMIERE_Event Imperial Computing Imperial ChemEng

A lot of Machine Learning (ML) I learned during my Ph.D. was from youtube. I didn't have a guide to do this effectively and thus here it is: A complete guide to studying ML from youtube: 13 best and most recent ML courses available on YouTube. 👩‍🏫🧵⤵️

You should always work on improving your model evaluation skills. Model evaluation is the worst taught skill in machine learning, and I believe the best way of improving is through practice. But, this paper from Sebastian Raschka is by far my favorite single written resource:

What is an equivariant neural network?. (arXiv:2205.07362v2 [cs.LG] UPDATED) ift.tt/4s02aPH

Very useful! How to write scientific article: Step by step guide for beginners 👏 sciencedirect.com/science/articl… #phd #research #researcher #AcademicTwitter Academic Chatter™

Convexifying Transformers: Improving optimization and understanding of transformer networks. (arXiv:2211.11052v1 [cs.LG]) ift.tt/rTmPH2Y

5 AI-powered apps to supercharge your literature review process in 2023 (with my free tutorials):

Some lovely photos of group members Haiting Wang Niki Kotecha and Abdullah Bahamdan enjoying the Isaac Newton Institute week on Data-Driven Engineering Mark Girolami Antonio del Rio Chanona

That brings an end to #ESCAPE33 with Antonio del Rio Chanona presenting work from Tom Savage, a presentation from Miguel and posters from Damien van de Berg, Haiting Wang, and Luxi. We will see everyone next year!

As the dust settles from #AIChEAnnual, we reflect on the discussions on sustainability and AI advancements and how they showcased the possibilities ahead. Excited to infuse these insights into our research endeavors! Imperial ChemEng #ChemEng #Innovation