Week 37
5 Minutes of Data Science - week 37
Highlights from September 12 to September 18
Foreword
Hi everybody! Last week’s podcasts included many interesting topics, suck as Stable Diffusion, Transformers on Tabular Data and whether studying AI in academia is a waste of time. The Reddit community is also focusing on Stable Diffusion, as well as a few GitHub repositories.
Blogs
- How our principles helped define AlphaFold’s release, by DeepMind
- Google at Interspeech 2022, by Google AI
- Robust Online Allocation with Dual Mirror Descent, by Google AI
- PaLI: Scaling Language-Image Learning in 100+ Languages, by Google AI
- LOLNeRF: Learn from One Look, by Google AI
- Scaling multilingual virtual assistants to 1,000 languages, by Amazon Science
- Interspeech 2022: The growth of interdisciplinary research, by Amazon Science
- Amazon scientists win best-paper award for ad auction simulator, by Amazon Science
- Amazon and Harvard launch alliance to advance research in quantum networking, by Amazon Science
Podcasts
- Is studyng AI in academia a waste of time? (Ep. 202), by Data Science At Home
- Podcast Advertising, by Data Skeptic
- Does the brain run on deep learning?, by Towards Data Science
- Stable Diffusion, by Practical AI
- Transformers for Tabular Data at Capital One with Bayan Bruss - #591, by The TWIML AI
- Let’s keep this on…, at r/Data Science (💬125)
- Data Science in 2022, at r/Data Science (💬154)
- Laptop fan go whirrrr, at r/Data Science (💬26)
- [P] YoHa: A practical hand tracking engine., at r/Machine Learning (💬21)
- [R] GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!), at r/Machine Learning (💬55)
- [P] Stable Diffusion web ui + IMG2IMG + After Effects + artist workflow, at r/Machine Learning (💬21)
- Good online math-based statistics courses (ie stats for statisticians), at r/Ask Statistics (💬2)
- Trouble understanding type l and type ll errors, at r/Ask Statistics (💬16)
- [Q] Inverse Transform sampling vs Markov-Chain Monte Carlo. Why?, at r/Ask Statistics (💬9)
- Mr. Tambourine Man - But every lyric is an Ai generated image, at r/Latest in ML (💬0)
Github jupyter notebook trends
- alexeygrigorev/mlbookcamp-code: The code from the Machine Learning Bookcamp book and a free course based on the book
- karpathy/nn-zero-to-hero: Neural Networks: Zero to Hero
- XavierXiao/Dreambooth-Stable-Diffusion: Implementation of Dreambooth
- meituan/YOLOv6: YOLOv6: a single-stage object detection framework dedicated to industrial applications.
- DataTalksClub/mlops-zoomcamp: Free MLOps course from DataTalks.Club
- openai/CLIP: Contrastive Language-Image Pretraining
- mrdbourke/pytorch-deep-learning: Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.on.
- goldmansachs/gs-quant: Python toolkit for quantitative finance
- aimacode/aima-python: Python implementation of algorithms from Russell And Norvig’s “Artificial Intelligence - A Modern Approach”
- Pierian-Data/Complete-Python-3-Bootcamp: Course Files for Complete Python 3 Bootcamp Course on Udemy
- onnx/models: A collection of pre-trained, state-of-the-art models in the ONNX format
- yandexdataschool/nlp_course: YSDA course in Natural Language Processing
- microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- Azure/azureml-examples: Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
- GokuMohandas/Made-With-ML: Learn how to responsibly deliver value with machine learning.
- timeseriesAI/tsai: Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
- GokuMohandas/mlops-course: A project-based course on the foundations of MLOps with a focus on intuition and application.
- mrdbourke/zero-to-mastery-ml: All course materials for the Zero to Mastery Machine Learning and Data Science course.
- rasbt/deeplearning-models: A collection of various deep learning architectures, models, and tips
Github python trends
- AUTOMATIC1111/stable-diffusion-webui: Stable Diffusion web UI
- FedML-AI/FedML: FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled
- sd-webui/stable-diffusion-webui: Stable Diffusion web UI
- mlfoundations/open_clip: An open source implementation of CLIP.
- ytdl-org/youtube-dl: Command-line program to download videos from YouTube.com and other video sites
- vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources
- django/django: The Web framework for perfectionists with deadlines.
- home-assistant/core:
- sharonzhou/long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)
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