#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries => Get it at http://
amzn.to/3WrBmZf [700+ page book from @NoStarch Press]
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#Coding #BigData #DataScience #DataScientists #ComputationalScience #MachineLearning #AI
TOOLS
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Python Scientific Tools: Anaconda, JupyterLab Guide
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Psychic DocumentLoader Integration with LangChain Platform
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New document loader http://
psychic.dev is a platform for integrating with your customer’s SaaS tools like Notion, Zendesk, Confluence, and Google Drive via OAuth Now usable as a DocumentLoader in @langchain thanks to @AyanBandyop123! Docs: https://
github.com/hwchase17/lang
chain/blob/master/docs/integrations/psychic.md
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AI Tools: Clarity Enhancement or Thinking Shortcut?
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The question is whether these tools can be designed to help people think more clearly, or whether they’ll be a shortcut to sloppy thinking.
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Essential Elements for Successful Digital Transformation Journey
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Discover the essential elements for a prosperous #DigitalTransformation journey, as outlined by @ingliguori via @kenovy_it
. From #Cloud to #Blockchain, #AI to #DataScience, and beyond, explore the latest in #DX, #UX, #CX, and even the #Metaverse. -
MIT Tool Eliminates Bias in Trace-Driven Simulation
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MIT tool eradicates bias in trace-driven simulation, paving the way for scientists to design precise algorithms. This could significantly enhance the performance of various applications & networks: https://
bit.ly/42AObEt -
Building LLM Applications for Production Environments
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Building LLM applications for production https://
bit.ly/3WmiCfh #AI #MachineLearning #DeepLearning #LLMs #DataScience -
H2O Meetup: Create and Fine-Tune Your Own LLMs in Dallas
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Curious about #OpenSource #LLMs and #GPT? Join @h2oai for a #MeetUp on May 24, 6:30-8:30 PM @SMU in Dallas! Make and fine-tune your own LLMs using Open Assistant datasets. Register: https://
h2o.ai/events/live/ma
ke-your-own-gpt-dallas/
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CodeT5+ Achieves State-of-the-Art Code Understanding and Generation
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8/ CodeT5+ – supports a wide range of code understanding and generation tasks and different training methods to improve efficacy and computing efficiency; achieves SoTA on tasks like code completion, math programming, and text-to-code retrieval tasks.
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Drag Your GAN: Interactive Point-Based Image Control Method
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1/ Drag Your GAN – an approach for controlling GANs that allows dragging points of the image to precisely reach target points in a user-interactive manner.https://t.co/Nbhtle5VRG
— DAIR.AI (@dair_ai) 21 mai 20231/ Drag Your GAN – an approach for controlling GANs that allows dragging points of the image to precisely reach target points in a user-interactive manner.
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StellarGraph and PyTorch Geometric: ML Libraries for Graph Processing
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StellarGraph | PyTorch Geometric Two of the best libraries to apply ML on graphs right away. Both have great documentation & example to get started! StellarGraph for TensorFlow folks https://
stellargraph.readthedocs.io/en/stable/ PyTorch Geometric for PyTorch folks https://
pytorch-geometric.readthedocs.io/en/latest/