as a first step, i opened this issue to write a few how-to guides on how to run (some) HF models in local inference in JS: https://
github.com/huggingface/hu
ggingface.js/issues/82
… Feel free to chime in there. cc @coyotte508 @radamar
TOOLS
-
Running HF Models Locally with JavaScript Inference
By
–
-
Bifrost: Fast & Accurate Speech Transcription on GroqChip
By
–
Made specifically for Groq, Bifrost is a fast & accurate speech transcription run on GroqChip™. Learn how Bifrost works & the low latency and high throughput results it offers for speech transcriptions in an enterprise setting. More demos on our channel: http://
youtu.be/FjxkViqyFoI -
OpenXLA: Running ML Models Efficiently on Any Hardware
By
–
You can now use and contribute to #OpenXLA Making it easy to run any model efficiently on any hardware is a deep technical challenge, and an important goal for our mission to democratize good ML!
-
OpenCV Face Recognition on Real and AI-Generated Faces
By
–
Ever wondered if facial recognition technology works on AI-generated faces as well as it does on real ones?
— Satya Mallick (@LearnOpenCV) 9 mars 2023
Check out our latest read, where we walk through the process of testing OpenCV Face Recognition on both real & AI-generated faces.https://t.co/ZDjeJG2QuL
We'll dive into… pic.twitter.com/ARKKYekPvrEver wondered if facial recognition technology works on AI-generated faces as well as it does on real ones?
Check out our latest read, where we walk through the process of testing OpenCV Face Recognition on both real & AI-generated faces. https://
learnopencv.com/opencv-face-re
cognition-api/
… We'll dive into -
AI21 Labs Launches Jurassic-2 and Task-Specific APIs
By
–
Exciting news! We've launched Jurassic-2 and our task-specific APIs! Both are major game-changers, with Jurassic-2's new and improved capabilities, and our APIs' plug-and-play reading & writing functions that outperform competitors. Read more: https://
ai21.com/blog/introduci
ng-j2
… -
DeepSparse Project Completion and Data Science Tutorials
By
–
That's a wrap! You can read more about DeepSparse here https://
neuralmagic.com/deepsparse/ Everyday, I share tutorials around Data Science & Machine Learning. You can find me → @Sumanth_077 Like/RT the first tweet to support my work and help this reach more people -
Deploying YOLOv5 Object Detection with DeepSparse Pipeline
By
–
Here's another simple example of deploying a YOLOv5 object detection model using the DeepSparse Pipeline. Check out the Github Repo here: http://
github.com/neuralmagic/de
epsparse
… -
DeepSparse: Run GPU-Speed Models on CPUs with Sparse Execution
By
–
DeepSparse does this by sparse execution which is removing redundant information from a trained deep learning model. This allows them to run on CPUs – at GPU speeds and better Now it's available in the AWS marketplace for pennies Check it out here https://
tinyurl.com/build-with-dee
psparse
… -
DeepSparse: GPU-Class ML Inference Performance on CPUs
By
–
Latency is critical when deploying machine learning models for real-time inference But running large models at low latency requires expensive hardware. DeepSparse enables the deployment of large models with GPU-class performance on CPUs Here is how DeepSparse does it:
-
Oxbotica Uses Metaverse to Enhance Autonomous Vehicle Detection
By
–
Oxbotica taps metaverse to improve #Autonomous vehicle detection scenarios
by @JoeyJOH @ComputerWeekly Learn more: https://
buff.ly/3N0aESZ #AI #IoT #BigData #ArtificialIntelligence #InternetofThings cc: @mikequindazzi @kuriharan @pbalakrishnarao