Free webinar!
Learn how to scale inclusive language with Join us on Feb 16 at 4pm https://
eu1.hubs.ly/H02FJ0x0 @julsimon
, Elena Nazarenko & @lsmith will show you how @witty_works leverages @huggingface to scale de-biased NLP models for Inclusive Language.
OPEN SOURCE
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Scaling Inclusive Language with De-biased NLP Models
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Data2vec 2.0: 16x Faster Self-Supervised Learning Across Modalities
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Data2vec 2.0 can train self-supervised speech, vision & text models up to 16x faster than the most popular existing algorithm for images — achieving the same accuracy. Read more & get the open source code https://
bit.ly/3H9mPf7 -
Open-source LangChain bot deployment examples for messaging platforms
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Anyone have any good open-source examples of deploying a LangChain bot on discord, telegram, WhatsApp, Slack, etc? Want to add some examples to the gallery & deployment pages for this!
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Start Contributing to Open Source Tools You Use Daily
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No need to be above mentioned projects. Think of the tools and libraries you are working on daily within your projects and start contributing to that. For example Pandas, Numpy, Matplotlib, Tensorflow, Jax, etc. It can be of any project just start contributing to Open Source.
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Open-source ML Tools Content Series Coming Soon
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That's it. Hope you enjoyed reading this. I will be sharing more content on all open-source ML Tools in the coming threads. Follow me @Sumanth_077 so won't miss what's coming next.
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Bento ML: Open Source Framework for Production ML Models
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7. Bento ML It is an open source model serving framework that helps you take your ML Models to Production https://
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ZenML: Open-Source ML Pipeline Framework Integration Tool
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5. ZenML Open-source pipeline framework that integrates all your ML tools https://
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Lightning AI: Build and Deploy AI Models Without Infrastructure Worries
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6. Lightning AI This helps you build AI products, train, finetune and deploy models on the cloud without worrying about infrastructure, cost management. https://
github.com/Lightning-AI/l
ightning
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Deepchecks: Python Package for ML Model and Data Validation
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4. Deepchecks Deep checks is a Python package for comprehensively validating your machine learning models and data with minimal effort. https://
github.com/deepchecks/dee
pchecks
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Weights & Biases: MLOps Platform for Model Development
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3. Weights & Biases Mlops Platform to build better models faster with experiment tracking, dataset versioning, and model management https://
github.com/wandb/wandb