R2024b is out now! Get the latest update with: HTTP/HTTPS data reading Interactive ODE solving Violinplot & Compassplot New Desktop Beta: dark theme, improved search, plain text file format for live scripts And much more Download https://
spr.ly/6011WUhsf
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MATLAB R2024b Release: New Data Tools and Features
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SQL Skills Revival in AI Development Context
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AND it makes you pick up SQL again (for now at least )
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DuckDB WASM enables browser-based Parquet data analysis
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– we auto-convert all datasets to Parquet
– @DuckDB has a really cool WASM client so everything happens in your browser -
Coding Inside Vision Pro: New Development Possibilities
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Or you could try coding inside Vision Pro
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How to Train Your Own Flux LoRA on Hugging Face
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How to train your own Flux LoRA on Hugging Face: the easiest guide on lora training guide on twitter. In this thread, I'll show you how you can train your own flux lora on Hugging Face for all kinds of style, person, animals, etc. 1/N
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Best Python Books for End-to-End ML and Data Applications
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Folks, what books you all recommend to study and develop end to end ML and data applications using python? also good books for python lang? #Python
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PyTorch Training and CUDA Low Level Optimizations
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Training is already done in PyTorch. CUDA is for low level optimizations.
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Access SQL Console for Datasets on Hugging Face
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To try it just go to https://
hf.co and then any dataset and click on SQL console button 🙂 -

Hugging Face Launches SQL Console for 200k Public Datasets
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Hugging Face has a brand new SQL Console now This means, you can write SQL queries and execute them on more than 200k public datasets on the Hugging Face Hub without leaving your browser P.S. You can also download the results of the query as parquet file
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gsplat: Open-Source Library for Gaussian Splatting Methods
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gsplat An Open-Source Library for Gaussian Splatting discuss: https://
huggingface.co/papers/2409.06
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… gsplat is an open-source library designed for training and developing Gaussian Splatting methods. It features a front-end with Python bindings compatible with the PyTorch library and a