Would you trust ChatGPT to call 911? 🤔
Tomorrow, I'm presenting at @PyDataParis my experience from @GitGuardian and Alexa.
Join me at 09:45! #ML#AI#PyData#PyDataParis
Check it out: https://t.co/FdkRj1tx8u
📢 {LIVE} C'est parti pour le talk d'@Arnault_Chaz , "Visualizing your computer vision data is not a luxury, it's a necessity: without it, your models are blind and so do you.” à @PyConDE 🤖
Pour s'inscrire👉https://t.co/YhUQ6MYdl2 #data#conference#python#pycondata#pyconde
Visualizing your #ComputerVision data is not a luxury, it's a necessity: without it, your models are blind and so do you! Learn how to elevate your projects and #… @arnault_chaz at #PyConDE#PyDataBerlin
https://t.co/BRW03aM1Fv
🎉 EasyFSL 1.2.0 (then immediately 1.2.1 😅) is out! Including Python 3.10 support, and new error messages that arise when the problem is created and clearly explain the problem (🤯). Check it out: https://t.co/0boMQMNd39
#fewshotlearning#opensource
📣 [ EN DIRECT du #ForumPerspective ]
Le réveil a piqué ce matin, et on est super heureux de vous retrouver à Lyon pour rencontrer les étudiants de @CentraleLyon et des @MINES_StEtienne
👉Retrouve-nous au stand 51, Erwan, @AchacheNoe et Xavier t’attendent
#Recrutement#data
This means that having to go through only 35% of false positives, you can eliminate 80% of outliers in your support set and virtually remove the performance drag caused by these outliers!
Additional details and results are in my full article --> https://t.co/IhzldyOF3e
On recrute ! Sicara : Deeptech de reconnaissance d’images basée sur l’IA (📌 Paris)
💼 (Ingénieurs IA, chargés de comptes, recruteur, ingénieurs Data, chef de projets agile)
🎙️@e_vignon (@sicara_fr) @SchnellT@GuillaumPAUL
I wrote a notebook tutorial for people who want to learn how to implement few-shot learning algorithms. If you've got 15mn ahead of you, use it to learn something new!
https://t.co/2kSKxpCORW
In this tutorial series, we show you how you can use Amazon SageMaker and Docker to train and save a deep learning model, and then deploy your trained model as an inference endpoint #sagemaker
https://t.co/SmvkPNm2RA
Released gpumonitor this week-end, a small library to monitor your GPU indicators🔥
It implements @TensorFlow and @PyTorchLightnin callbacks, an easy way to check you make the most of your GPUs!
https://t.co/p6eYY2W9aX
tf-explain 0.1.0 is out 🔥
- Version tested against #TensorFlow 2.0.0
- Added methods: Vanilla Gradients & Integrated Gradients
- @useviridis colormap as default
- Improved documentation
https://t.co/8NFFIydZ2e (thanks to @mrm8488 for the colab)
What's under the hood of tf-explain? Here is a blog post I wrote explaining various methods (Occlusion Sensitivity, Grad CAM, ..) and their @Tensorflow 2.0 implementations!
https://t.co/sJOnew8k2r
Excited to share tf-explain, a @Tensorflow 2.0 compatible Python library for interpretability!
First release happened this week, with several algorithms you can use on your models or as tf.keras callbacks.
Feedback welcome!
@dynamicwebpaige@fchollet
https://t.co/aYII2FtVw0
How can algorithms learn to learn? How can we use it in computer vision with few data? I've worked on this for four months. Today I share my views on the topic on @Sicara_fr's blog. https://t.co/zDvG7Go5e2
Le prochain MeetUp Computer Vision aura lieu le 10 juillet chez leboncoin à partir de 19h ! Au programme : des intervenants @leboncoinEng et @MobeyeApp. Pour vous inscrire : https://t.co/lZgTgHT11F
Building an AI is hard. What you may be lacking is a head start to transform your idea into a first AI service. Here is my take on it.
https://t.co/dFtLBXbeSg
#ai#tutorials#datascience#poc