neptune.ai
@neptune_ai
The MLOps stack component for experiment tracking.
We tweet about #MLOps best practices & other cool stuff.
Read our blog at https://t.co/nOTpkA75fE
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https://neptune.ai 04-01-2018 10:44:55
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Bojan Tunguz
Machine Learning ex Nvidia. Kaggle Quadruple Grandmaster. Data Scientist. Physicist. Catholic. Husband. Father. Stanford Alum. e/xgb. XGBoost.eth. AMDG.
Sebastian Raschka
Machine learning & AI researcher writing at https://t.co/A0tXWzG1p5. LLM research engineer @LightningAI. Previously stats professor at UW-Madison.
François Chollet
Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
Santiago
I tell stories about technology and teach hard-core Machine Learning at https://t.co/iZifcK7n47. YouTube: https://t.co/pROi08OZYJ
Andrej Karpathy
🧑🍳. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥
![[New on our blog] 📖 Continual Learning: Methods and Application Author: Mateusz Wójcik Reading time: 10 min — Full article: bit.ly/3P0i9Nr](https://pbs.twimg.com/media/GLcTjBGWMAUdiJm.jpg "neptune.ai (@neptune_ai) on Twitter photo 2024-04-18 10:58:02 [New on our blog] 📖 Continual Learning: Methods and Application Author: Mateusz Wójcik Reading time: 10 min — Full article: bit.ly/3P0i9Nr")
One of the key jobs #DataScientists want to do in Neptune is to compare multiple experiments against each other.
Here’s a short demo of how we enable them to do it.
Watch now: bit.ly/4bcXUVJ