FairTorch secured the first place at the Summer Hackathon 2020 in the Responsible AI category. The tool allows you to add a fairness constraint to your model with a few lines of code, using the fairness criteria provided in the library. https://t.co/40svXCVOut
— PyTorch (@PyTorch) January 6, 2021
🔥New Video🔥 EVERYBODY is talking about @OpenAI's new DALL·E model 👀 It takes any piece of text and turns it into an image, absolutely crazy 😱 Watch the video to learn more💪https://t.co/qB3n6R9zo0#DALLE @ilyasut @_jongwook_kim @MikhailPavlov5 @gabeeegoooh @scottgray76 pic.twitter.com/4EwRp5wShp
— Yannic Kilcher, the YouTube guy (@ykilcher) January 6, 2021
Good advice on what to do when you feel completely stuck on a research project, from @maithra_raghu's reflection on her machine learning PhD journeyhttps://t.co/2ICOzkcvPn pic.twitter.com/HoS5b8HeRF
— Rachel Thomas (@math_rachel) January 5, 2021
An NN takes a list of category names, and outputs (in a zero-shot manner) a visual classifier.
— Ilya Sutskever (@ilyasut) January 5, 2021
It beats RN50 on ImageNet zero-shot, while being far more robust to unusual images:https://t.co/dGdtFlbI7G pic.twitter.com/tjYdMfFcfe
Impressive and surprising https://t.co/9QpeWbhQFU I use those words sparingly pic.twitter.com/X0TC6h4fh2
— Andrej Karpathy (@karpathy) January 5, 2021
Congrats @OpenAI on really cool image generation result from a text+image prompt! Here's my favorite set of generated examples: pic.twitter.com/sGXFNOc93n
— Andrew Ng (@AndrewYNg) January 5, 2021
— Kyunghyun Cho (@kchonyc) January 5, 2021
Wow.@OpenAI has trained a model that can create new images - you just describe them in English. 🤯https://t.co/qxDreBM2Qx pic.twitter.com/TWYwkfeblY
— Jeremy Howard (@jeremyphoward) January 5, 2021
This is awesome! Jupyter Lab 3.0 is out! Lot's of cool new features and improvements. Can't wait to take it for a spin.https://t.co/RIl3A9xuQB#pythonprogramming #jupyter #datascience #machinelearning pic.twitter.com/2cck4Q3Q05
— Bojan Tunguz (@tunguz) January 5, 2021
Oooooh! Fancy new progress bars in #Python. #programming
— Randy Olson (@randal_olson) January 5, 2021
Repo: https://t.co/cAahpHTeNa pic.twitter.com/QzLWrKxHRu
[Release] TorchServe 0.3 includes new integrations for: Kubelow/KFServing, Captum for model interpretability, MLflow-torchserve plugin, Google Kubernetes and Azure Kubernetes Engine support, Native Windows support, gPRC interfaces for all APIs, and more. https://t.co/Do52ONJkFB
— PyTorch (@PyTorch) January 5, 2021
You would be surprised if I told how often I found that missingness recorded as 999 in SPSS was the actual cause of high correlation
— Maarten van Smeden (@MaartenvSmeden) January 5, 2021
