Freddy Lecue

1.3K posts

Freddy Lecue

Freddy Lecue

@freddylecue

Chief AI Scientist @cortAIx, Thales in Montreal - Canada. ex-@Accenture, ex-@IBM_Research, ex-@Orange. All views are my own!

Montreal, Canada เข้าร่วม Ocak 2010
130 กำลังติดตาม531 ผู้ติดตาม
Freddy Lecue
Freddy Lecue@freddylecue·
I’m happy to share that I am joining the AI leadership team at J.P. Morgan as AI Research (Executive) Director! #Hiring #AI talents in #UK and #USA - Feel free to message me directly. Available positions: but much more in the A…lnkd.in/ekmv6WFE lnkd.in/eq4UJhBD
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Bojan Tunguz
Bojan Tunguz@tunguz·
A very good paper I came across this morning by the @DeepMind researchers. For the past five years Transformers have been one of the most dominant approaches to Deep Learning problems, especially in the #NLP domain. 1/5
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Jeremy Howard
Jeremy Howard@jeremyphoward·
After 2 years, Practical Deep Learning for Coders v5 is finally ready! 🎊 This is a from-scratch rewrite of our most popular course. It has a focus on interactive explorations, & covers @PyTorch, @huggingface, DeBERTa, ConvNeXt, @Gradio & other goodies 🧵 course.fast.ai
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Hugging Face
Hugging Face@huggingface·
🧨Diffusion models have been powering impressive ML apps, enabling DALL-E or Imagen Introducing 🤗 diffusers: a modular toolbox for diffusion techniques, with a focus on: 🚄Inference pipelines ⏰Schedulers 🏭Models 📃Training examples github.com/huggingface/di…
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Thomas Kipf
Thomas Kipf@tkipf·
Happy to announce that there will be a workshop on Neuro Causal & Symbolic AI (nCSI) at @NeurIPSConf! More information soon. 🖥️ ncsi.cause-lab.net
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Alexey Bochkovskiy
Alexey Bochkovskiy@alexeyab84·
Official YOLOv7 (state-of-the-art real-time detector) is more accurate and faster than: - YOLOv5 by 120% FPS - YOLOX by 180% FPS - Dual-Swin-T by 1200% FPS - ConvNext by 550% FPS - SWIN-L CM-RCNN by 500% FPS - PPYOLOE-X by 150% FPS arxiv.org/abs/2207.02696 github.com/WongKinYiu/yol…
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charlota
charlota@0xCharlota·
I generated this set of icons in 3D style using DALL-E 2 by @OpenAI. 🤖 (or, did an AI generate this set of icons using text prompts by Charlota?🤔) #dalle2
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Sharon Zhou
Sharon Zhou@realSharonZhou·
The OpenAI Minecraft paper is a great push to getting AI to work in Photoshop, Figma, or any software product — using just the keyboard & mouse, like a person would. Steps in the paper, explained 🧵 1/ openai.com/blog/vpt/
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Sebastian Raschka
Sebastian Raschka@rasbt·
Wohoo, PyTorch 1.12 is out! Detailed release notes here: github.com/pytorch/pytorc…. Interesting (personal top 3) highlights 1) Updated DataPipes -- now with fully working shuffling and sharding (what are DataPipes? See my recent blogpost here: sebastianraschka.com/blog/2022/data…) [1/3]
PyTorch@PyTorch

Announcing PyTorch 1.12: TorchArrow, functorch, accelerated PyTorch training on Mac and more. Take a look: 👇 bit.ly/3OPnDbg

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AK
AK@_akhaliq·
Video2StyleGAN: Encoding Video in Latent Space for Manipulation abs: arxiv.org/abs/2206.13078
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Bindu Reddy
Bindu Reddy@bindureddy·
Statistics and mathematics are the backbones of data science and machine learning Key statistical techniques 👇
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Joel Lehman
Joel Lehman@joelbot3000·
“Evolution through Large Models” – new paper from our team at OpenAI. Step towards evolutionary algos that continually invent and improve at inventing: Large models can suggest (+ improve at making) meaningful mutations to code. Paper: arxiv.org/abs/2206.08896 1/4
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Chip Huyen
Chip Huyen@chipro·
OMG I'M SO HAPPY IT'S FINALLY HERE!!!
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