Data Science | Machine Learning with Python for Researchers
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The Data Science and Python channel is for researchers and advanced programmers

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๐Ÿ–ฅ Hitchhiker's Guide to Python

Python Best Practices Guidebook

A guide to best practices for installing, configuring and using Python on a daily basis, including pip, numpy, virtualenv and more.

Resources: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A/110
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๐Ÿ“š LlaVa Demo with LlamaIndex

In this example, we illustrate how we use LlaVa for belowing tasks:
โ–ชRetrieval Augmented Image Captioning
โ–ชPydantic Structured Output
โ–ชMulti-Modal Retrieval-Augmented Generation (RAG) using Llava-13b

๐Ÿ–ฅ Github: https://github.com/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb

๐Ÿ” Colab: https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/multi_modal/llava_demo.ipynb

๐Ÿชฉ Paper: https://arxiv.org/abs/2304.08485

๐Ÿ’ป Website: https://llava-vl.github.io/

๐Ÿ”ฅ YouTube: https://youtube.com/watch?v=k7i2BpeLUss
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โšก๏ธ LLM360 - framework for open-source LLMs to foster transparency, trust, and collaborative research

๐Ÿ–ฅCode: https://short.llm360.ai/amber-code

โšก๏ธ Model: https://short.llm360.ai/amber-model

๐Ÿ–ŒMetrics: https://short.llm360.ai/amber-metrics

๐Ÿ“šData: https://short.llm360.ai/amber-data
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๐Ÿ’ฐ We will randomly select 2 winners in two days, and each will receive a $25 prize.
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โšก๏ธ UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models โœ’ Colab ๐Ÿฅณ

๐Ÿ–ฅ code: https://github.com/ZYM-PKU/UDiffText

โšก๏ธpage: https://udifftext.github.io

๐Ÿ“š paper: https://arxiv.org/abs/2312.04884

๐Ÿ”ฅcolab: https://github.com/camenduru/UDiffText-colab
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๐Ÿ“ฒ CogAgent: A Visual Language Model for GUI Agents

A state-of-the-art-level open visual language model.


๐Ÿ–ฅ code: https://github.com/thudm/cogvlm

๐Ÿ“š paper: https://arxiv.org/abs/2312.08914v1

๐Ÿ”ฅdataset: https://paperswithcode.com/dataset/ok-vqa