Week 48
5 Minutes of Data Science - week 48
Highlights from November 28 to December 04
Foreword
Hi friends!
It’s quite obvious that ChatGPT was all the rage this week. We also had PyData Global happening. And Pytorch 2.0 was announced.
Come say hi on Mastodon. See you next week!
Blogs
- Mastering Stratego, the classic game of imperfect information, by DeepMind
- Talking to Robots in Real Time, by Google AI
- Making a Traversable Wormhole with a Quantum Computer, by Google AI
- Better Language Models Without Massive Compute, by Google AI
- ChatGPT: Optimizing Language Models for Dialogue, by Open AI
- Improve explainability of ML models to meet regulatory requirements, by Amazon Science
- USC and Amazon select five new faculty research projects, by Amazon Science
- AWS CodeWhisperer creates computer code from natural language, by Amazon Science
- In reinforcement learning, slower networks can learn faster, by Amazon Science
- reMARS revisited: Frontiers of fair and accessible AI, by Amazon Science
- Preventing updated NLP models from backsliding on particular tasks, by Amazon Science
- Amanda Prorok: Scaling new frontiers in multi-robotic research, by Amazon Science
- DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection, by Apple Machine Learning
- Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer, by Apple Machine Learning
- Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies, by Apple Machine Learning
- Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning, by Apple Machine Learning
Podcasts
- Machine learning is physics (Ep. 211), by Data Science At Home
- Internet Advertising Bureau Media Lab, by Data Skeptic
- Copilot lawsuits & Galactica “science”, by Practical AI
- Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601, by The TWIML AI
- Teaching and Mentoring in Data Analytics - Irina Brudaru, by Data Talks
Youtube
- Dr. ANDREW LAMPINEN (Deepmind) - Natural Language, Symbols and Grounding [NEURIPS2022 UNPLUGGED], by Machine Learning Street Talk
- Hot take: Kaggle for entry level CVs is very mid-2010s. Here’s what I’d do instead., at r/Data Science (💬53)
- Hiring managers, why do you ghost the candidates?, at r/Data Science (💬139)
- What’s the deal with the Data Scientist job market? (and software development in general), at r/Data Science (💬167)
- PyTorch 2.0 Announcement, at r/Machine Learning (💬39)
- Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation (paper, code, colab in comments), at r/Machine Learning (💬4)
- Statistical vs Deep Learning forecasting methods, at r/Machine Learning (💬81)
- Is there a textbook that meticulously catalogues all currently known statistical tools along with their descriptions?, at r/Ask Statistics (💬10)
- I am disagreeing with my probability teacher about the correction to his exam, his answer to my email was unhelpful, please help me., at r/Ask Statistics (💬34)
- Got at this at an interview: relationship between three columns?, at r/Ask Statistics (💬6)
- What is Galactica and What Happened?, at r/Latest in ML (💬0)
Github jupyter notebook trends
- InvokeAI: This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a “dream bot” style interface, and multiple features and other enhancements. For more info, see the website link below.
- diffusion-models-class: Materials for the Hugging Face Diffusion Models Course
- homemade-machine-learning: 🤖Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
- fifa-world-cup-2022-prediction: None
- mlbookcamp-code: The code from the Machine Learning Bookcamp book and a free course based on the book
- animegan2-pytorch: PyTorch implementation of AnimeGANv2
- stable-diffusion-webui-colab: stable diffusion webui colab
- harmonic-oscillator-pinn: Code accompanying my blog post: So, what is a physics-informed neural network?
- codespaces-jupyter: Explore machine learning and data science with Codespaces
- Paella: Official Implementation of Paellahttps://arxiv.org/abs/2211.07292v1
- Complete-Python-3-Bootcamp: Course Files for Complete Python 3 Bootcamp Course on Udemy
- deep-rl-class: This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
- Data-Science-For-Beginners: 10 Weeks, 20 Lessons, Data Science for All!
- diff-svc: Singing Voice Conversion via diffusion model
- fastai: The fastai deep learning library
- DIS: This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
- shap: A game theoretic approach to explain the output of any machine learning model.
- yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- FinRL: FinRL: Financial Reinforcement Learning.🔥
- pycaret: An open-source, low-code machine learning library in Python
Github python trends
- stablediffusion: High-Resolution Image Synthesis with Latent Diffusion Models
- torchscale: Transformers at any scale
- mindsdb: In-Database Machine Learning
- langchain: ⚡Building applications with LLMs through composability⚡
- openai-cookbook: Examples and guides for using the OpenAI API
- stable-diffusion-webui: Stable Diffusion web UI
- Versatile-Diffusion: Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, 2022
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