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https://github.com/antoinebrl/awesome-ml-blogs

Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
https://github.com/antoinebrl/awesome-ml-blogs

List: awesome-ml-blogs

applied-data-science applied-machine-learning blogsite computer-vision data-science deep-learning machine-learning natural-language-processing reinforcement-learning

Last synced: about 1 month ago
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Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps

Awesome Lists containing this project

README

        

# List of Machine Learning Technical Blogs

This is a curated list of awesome machine learning technical blogs from research to deployment.
You want to stay up-to-date with the latest research breakthroughs
you want more practical tutorials? In both cases, these are the site to keep an eye on.

## Big Corps - Research

- [DeepMind Blog](https://deepmind.com/blog)
- [OpenAI Blog](https://openai.com/news/research/)
- [Google AI Blog](https://ai.googleblog.com/)
- [Meta/Facebook AI Blog](https://ai.facebook.com/blog/)
- [Microsoft Research Blog](https://www.microsoft.com/en-us/research/blog/)
- [Machine Learning Research at Apple](https://machinelearning.apple.com/research?type=article)
- [Amazon Science Blog](https://www.amazon.science/blog?f0=0000016e-2fb1-d205-a5ef-afb9d52c0000&f0=0000016e-2ff0-da81-a5ef-3ff057f10000&f0=0000016e-2ff1-d205-a5ef-aff9651e0000)
- [OpenMined Blog](https://blog.openmined.org/)

## Big Corps - Applied

- [AWS Machine Learning Blog](https://aws.amazon.com/blogs/machine-learning/)
- [NVIDIA - Deep Learning Blog](https://blogs.nvidia.com/blog/category/deep-learning/)
- [Spotify Engineering](https://engineering.atspotify.com/)
- [Netflix TechBlog on Machine Learning](https://netflixtechblog.com/)
- [Uber Engineering](https://eng.uber.com/category/articles/ai/)
- [Lyft Engineering](https://eng.lyft.com/)
- [Intel AI Blog](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/bg-p/blog-ai)
- [AirBnB Engineering, AI & ML](https://medium.com/airbnb-engineering/ai/home)
- [Google Technology](https://blog.google/technology/ai/)

## MLOps startups

- [Netptune.ai Blog](https://neptune.ai/blog)
- [ClearML Blog](https://clear.ml/blog/)
- [HuggingFace Blog](https://huggingface.co/blog)
- [DataRobot Blog](https://www.datarobot.com/blog/)
- [OctoML Blog](https://octoml.ai/blog/)
- [DVC Blog](https://dvc.org/blog)
- [CometML Blog](https://www.comet.ml/site/blog/)
- [Roboflow Blog](https://blog.roboflow.com/)
- [Floydhub Blog (closed)](https://blog.floydhub.com/)
- [Dataiku Blog](https://blog.dataiku.com/)
- [H2O.ai Blog](https://www.h2o.ai/blog/)
- [Superwise.ai Blog](https://www.superwise.ai/resources/blog)
- [Sicara Blog](https://www.sicara.fr/blog)
- [Clarifai blog](https://www.clarifai.com/blog)
- [Paperspace Blog](https://blog.paperspace.com/)
- [MosaicML Blog](https://www.mosaicml.com/blog)

## Data Labelling and Curation Platforms

- [V7 Blog](https://www.v7labs.com/blog)
- [Scale AI Blog (corporate)](https://scale.com/blog)
- [Snorkel AI Blog](https://snorkel.ai/resources/blog/)
- [SuperAnnotate Blog](https://blog.superannotate.com/)
- [Sama Blog](https://www.sama.com/blog)
- [Playment Blog](https://www.playment.io/blog)
- [Encord Blog](https://encord.com/blog/)
- [Dataloop Blog](https://dataloop.ai/blog/)
- [Superb AI blog](https://www.superb-ai.com/blog)
- [annotell Blog](https://www.annotell.com/articles)
- [iMerit Blog](https://imerit.net/blog/)
- [Kili Technology Blog](https://kili-technology.com/blog/)
- [LabelStudio](https://labelstud.io/blog/)
- [LabelBox Blog](https://labelbox.com/blog/)
- [Understand.ai Blog](https://understand.ai/)
- [Lightly.ai Blog](https://www.lightly.ai/blog)
- [Aquarium Learning Blog](https://medium.com/aquarium-learning)
- [Siasearch Blog](https://www.siasearch.io/)
- [Humanloop blog](https://humanloop.com/blog)

## Vector Databases

- [Milvius Engineering](https://milvus.io/blog?#engineering)
- [Vespa Blog](https://blog.vespa.ai/)

## Universities

- [Machine Learning at Berkeley](https://ml.berkeley.edu/blog/)
- [The Berkeley Artificial Intelligence Research Blog](https://bair.berkeley.edu/blog/)
- [ML@CMU](https://blog.ml.cmu.edu/)
- [Stanford DAWN](https://dawn.cs.stanford.edu/blog/)
- [The Stanford AI lab Blog](https://ai.stanford.edu/blog/)
- [MIT News ML](https://news.mit.edu/topic/machine-learning) and [AI](https://news.mit.edu/topic/artificial-intelligence2)
- [AutoML Group](https://www.automl.org/automl-blog/)

## Community Content

- [The Gradient](https://thegradient.pub/)
- [Weights & Biases Blog](https://wandb.ai/fully-connected)
- [Scale AI Exchange Blog](https://exchange.scale.com/public/blogs)
- [KDNugget](https://www.kdnuggets.com/news/index.html)
- [Towards Data Science](https://towardsdatascience.com/)
- [Machine Learning Mastery](https://machinelearningmastery.com/blog/)
- [Pytorch](https://medium.com/pytorch)
- [The Tensorflow blog](https://blog.tensorflow.org/)

## Personal Blogs

- [Yoshua Bengio](https://yoshuabengio.org/)
- [Sebastian Ruder](https://ruder.io/)
- [Lil'Log](https://lilianweng.github.io/lil-log/)
- [inFERENCe](https://www.inference.vc/)
- [Jay Alammar](https://jalammar.github.io/)
- [Chip Huyen](https://huyenchip.com/)
- [Eugene Yan](https://eugeneyan.com/writing/)
- [Erik Bernhardsson](https://erikbern.com/)
- [Otoro](https://blog.otoro.net/)
- [arg min blog](http://www.argmin.net/)
- [FastML](http://fastml.com/)
- [Carlos E.Perez](https://intuitmachine.medium.com/)
- [Sander Dieleman](https://benanne.github.io/)
- [Jeremy Jordan](https://www.jeremyjordan.me/)
- [George Ho](https://www.georgeho.org/blog/)
- [Paul Bridger](https://paulbridger.com/)

## Synthetic Data

- [parallel domain Blog](https://paralleldomain.com/blog/)
- [Anyverse Blog](https://anyverse.ai/blog/)
- [Datagen Blog](https://www.datagen.tech/blog/)

## Extra

- [Distill](https://distill.pub/) - Research Publications. No longer updated
- [Kaggle Blog](https://medium.com/kaggle-blog)
- [Brighter.ai Blog](https://brighter.ai/resources-types/blog/) - Data anonymization

# Contributing

Your favorite piece is not listed here? Feel free to open an issue or a pull request.
Alternatively, you can contact me [@antbrl](https://twitter.com/antbrl).
Thanks for your contribution!