MACHINE LEARNING

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TIMM Joins Hugging Face: 500 Models and Growing

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@huggingface

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20 February 2023 18h16

timm, welcome to Hugging Face: https://
github.com/huggingface/py
torch-image-models
… Since @wightmanr joined the team in June, a lot has happened. We're closing in on 500 models on the HF Hub, and the docs live at https://
huggingface.co/docs/timm/index Next Better interop w/ transformers, safetensors, … what else?

→ View original post on X — @sumanth_077

Python and Machine Learning Daily Tutorials Wrap-up

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@sumanth_077

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20 February 2023 16h41

That's a wrap! Every day, I share tutorials around Python & Machine Learning. You can follow me → @Sumanth_077 Like/RT the first tweet to support my work and help this reach more people.

→ View original post on X — @sumanth_077

Kangas: Explore and Visualize Large-Scale Multimedia Data

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@sumanth_077

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20 February 2023 16h41

Introducing Kangas a Tool that lets you explore, analyze, and visualize large-scale multimedia data 🚀

It also provides you with an intuitive visual interface for performing complex queries on your dataset.

Check this out: 👇 pic.twitter.com/gNm35N7eZB
— Sumanth (@Sumanth_077) 20 février 2023

Introducing Kangas a Tool that lets you explore, analyze, and visualize large-scale multimedia data It also provides you with an intuitive visual interface for performing complex queries on your dataset. Check this out:

→ View original post on X — @sumanth_077

Open Source Tool for Machine Learning Dataset Analysis and Exploration

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@sumanth_077

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20 February 2023 16h41

In Machine Learning you will be working with a lot of datasets but Analyzing and Exploring datasets is always a mess. Here is an Open Source tool that lets you display and analyze large and multimedia datasets with a few lines of code. Thread

→ View original post on X — @learnopencv

CVAT Simplifies Video Dataset Annotation Process

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@learnopencv

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20 February 2023 15h30

In this video, we’ll learn how CVAT eases video dataset annotations with the help of some examples.https://t.co/AWWTR9lUHR #annotation #annotationtools #image #imageannotation #cvat #machinelearning #neuralnetwork #objectdetection #deeplearning #computervision #learnopencv pic.twitter.com/jMPU2vRxUY
— Satya Mallick (@LearnOpenCV) 20 février 2023

In this video, we’ll learn how CVAT eases video dataset annotations with the help of some examples. https://
youtube.com/watch?v=FLIBzz
qu7hQ
… #annotation #annotationtools #image #imageannotation #cvat #machinelearning #neuralnetwork #objectdetection #deeplearning #computervision #learnopencv

Energy Transformer: Replacing Feedforward Blocks with Associate Memory

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20 February 2023 15h07

10). Energy Transformer – a transformer architecture that replaces the sequence of feedforward transformer blocks with a single large Associate Memory model; this follows the popularity that Hopfield Networks have gained in the field of ML.

Augmented Language Models: Reasoning Skills and Tool Integration Survey

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20 February 2023 15h07

7). Augmented Language Models – a survey of language models that are augmented with reasoning skills and the capability to use tools.

Geometric Clifford Algebra Networks Transform Neural Network Architecture

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20 February 2023 15h07

8). Geometric Clifford Algebra Networks (GCANs) – an approach to incorporate geometry-guided transformations into neural networks using geometric algebra. https://t.co/XHnKevDMLk
— DAIR.AI (@dair_ai) 20 février 2023

8). Geometric Clifford Algebra Networks (GCANs) – an approach to incorporate geometry-guided transformations into neural networks using geometric algebra.

Reinforcement Learning Optimizes Computer Vision Model Performance

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20 February 2023 15h07

5). Vision meets RL – uses reinforcement learning to tune computer vision models with task rewards; observes large performance boosts across multiple CV tasks such as object detection and colorization.