December 26, 2022

Week 51 - now with feeds from data science newsletters!

5 Minutes of Data Science - week 51

Highlights from December 19 to December 25

Foreword

Happy holidays everyone! 🎄

First and foremost: newsletters are here! That means I'm including the feeds for various data science newsletters. I've been gradually adding them - feel free to reach out if you want a specific newsletter to be included. Right now, I'm only adding RSS-capable newsletters.

Also, plenty of goodies all around, especially the github trends. Check them out below👇

Come say hi on Mastodon. See you next week!

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Blogs

• Recent honors and awards for Amazon scientists, by Amazon Science
• AmazonNext program hosts final project presentations at Virginia HQ2, by Amazon Science
• Auto-translating "Dive into Deep Learning" with Amazon Translate, by Amazon Science
• Popular deep-learning book from Amazon authors gets update, by Amazon Science
• Nine teams selected for Alexa Prize SocialBot Grand Challenge, by Amazon Science
• How a lifelong music student uses melody and lyrics in TTS research, by Amazon Science
• Controlling formality in machine translation, by Amazon Science

Newsletters

• Last Week in AI: How GPT learns to reason, Waymo expands to all of SF, Artists can opt-out from Stable Diffusion 3, and more!, by Last Week in AI

Podcasts

• Geospatial Machine Learning at AWS with Kumar Chellapilla, by The TWIML AI
• Real-Time ML Workflows at Capital One with Disha Singla, by The TWIML AI

Youtube

• Prof. MURRAY SHANAHAN - Consciousness, Embodiment, Language Models, by Machine Learning Street Talk
• SARA HOOKER - Fairness, Interpretability, Language Models, by Machine Learning Street Talk
• HATTIE ZHOU - Teaching Algorithmic Reasoning via In-context Learning #NeurIPS, by Machine Learning Street Talk

Reddit

• Job hunt results as a mid-level Data Scientist w/ ADHD, at r/Data Science (💬202)
• Agree?, at r/Data Science (💬54)
• Got my first Data Science job!!!, at r/Data Science (💬81)
• [R][P] I made an app for Instant Image/Text to 3D using PointE from OpenAI, at r/Machine Learning (💬40)
• Trippy Inkpunk Style animation using Stable Diffusion [P], at r/Machine Learning (💬14)
• [Discussion] Anyone else having a hard time not getting mad/cringing at the general public anthropomorphizing the hell out of chatGPT?, at r/Machine Learning (💬307)
• How can I determine which input variables are important for predicting the output?, at r/Ask Statistics (💬7)
• How to avoid the frustration of learning theoretical statistics?, at r/Ask Statistics (💬8)
• Studying statistics or economics?, at r/Ask Statistics (💬25)
• Automatic Re-Aging with AI! Disney’s FRAN Model Explained, at r/Latest in ML (💬1)

Github jupyter notebook trends

• annotated_deep_learning_paper_implementations: 🧑‍🏫59 Implementations/tutorials of deep learning papers with side-by-side notes📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...),🎮reinforcement learning (ppo, dqn), capsnet, distillation, ...🧠
• data-engineering-zoomcamp: Free Data Engineering course!
• ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
• Data-Science-For-Beginners: 10 Weeks, 20 Lessons, Data Science for All!
• whisper: Robust Speech Recognition via Large-Scale Weak Supervision
• stable-diffusion-webui-colab: stable diffusion webui colab
• pytorch-deep-learning: Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
• fastbook: The fastai book, published as Jupyter Notebooks
• tensorflow-deep-learning: All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
• zero-to-mastery-ml: All course materials for the Zero to Mastery Machine Learning and Data Science course.
• Machine-Learning-Specialization-Coursera: Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
• notebooks: Jupyter notebooks for the Natural Language Processing with Transformers book
• AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!
• coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
• codespaces-jupyter: Explore machine learning and data science with Codespaces
• DeepLearningSystem: Deep Learning System core principles introduction.
• micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
• pytorch-Deep-Learning: Deep Learning (with PyTorch)
• Data-science: Collection of useful data science topics along with code and articles

Github python trends

• CodeGeeX: CodeGeeX: An Open Multilingual Code Generation Model
• black: The uncompromising Python code formatter
• dream-textures: Stable Diffusion built-in to the Blender shader editor
• openai-cookbook: Examples and guides for using the OpenAI API
• unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
• ultimatevocalremovergui: GUI for a Vocal Remover that uses Deep Neural Networks.
• pyChatGPT: An unofficial Python wrapper for OpenAI's ChatGPT API
• yfinance: Download market data from Yahoo! Finance's API
• erpnext: Free and Open Source Enterprise Resource Planning (ERP)
• CodeFormer: [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
• openai-python: None
• chatgpt-clone: Build Yo'own ChatGPT with OpenAI API & Gradio
• RL4LMs: A modular RL library to fine-tune language models to human preferences
• DALL-E: PyTorch package for the discrete VAE used for DALL·E.
• OpenCore-Legacy-Patcher: Experience macOS just like before
• public-apis: A collective list of free APIs