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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πŸš€ Fast Segment Anything

Fast Segment Anything Model reaches comparable performance with the SAM method at 50 times higher run-time speed.

git clone https://github.com/CASIA-IVA-Lab/FastSAM.git

πŸ–₯ Github: https://github.com/casia-iva-lab/fastsam

⭐️ Demo:https://huggingface.co/spaces/An-619/FastSAM

πŸ“• Paper: https://arxiv.org/pdf/2306.12156.pdf

πŸ”—Dataset: https://paperswithcode.com/dataset/sa-1b

https://t.iss.one/DataScienceT
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⭐️ LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Extensible and lightweight toolkit, LMFlow, which aims to simplify the finetuning and inference of general large foundation models.

πŸ–₯ Github: https://github.com/optimalscale/lmflow

⭐️ Demo: https://lmflow.com/

πŸ“• Paper: https://arxiv.org/abs/2306.12420v1

πŸ”—Dataset: https://paperswithcode.com/dataset/pubmedqa

Official channel:
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Top Large Language Models based on the Elo rating, MT-Bench, and MMLU

https://t.iss.one/DataScienceT
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Automatically find issues in image datasets and practice data-centric computer vision.

CleanVision automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc. This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before applying machine learning. CleanVision is super simple -- run the same couple lines of Python code to audit any image dataset!

https://github.com/cleanlab/cleanvision

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The Attention Mechanism from Scratch

https://machinelearningmastery.com/the-attention-mechanism-from-scratch/

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Introduction to Computer Architecture, IIT Delhi

πŸ†“ Free Online Course
πŸ’» 38 Lecture Videos
⏰ 1 Module
πŸƒβ€β™‚οΈ Self paced
Teacher πŸ‘¨β€πŸ« : Prof. Anshul Kumar

πŸ”— https://nptel.ac.in/courses/106102062

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πŸ”₯ Awesome-Multimodal-Large-Language-Models

Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

πŸ–₯ Github: https://github.com/bradyfu/awesome-multimodal-large-language-models

πŸ“• Paper: https://arxiv.org/abs/2306.13394v1

πŸ”—Dataset: https://paperswithcode.com/dataset/coco

https://t.iss.one/DataScienceT
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⚑ LightGlue. Local Feature Matching at Light Speed

LightGlue a lightweight feature matcher with high accuracy and adaptive pruning techniques, both in the width and depth of the network, for blazing fast inference.

git clone https://github.com/cvg/LightGlue.git && cd LightGlue
python -m pip install -e .


πŸ–₯ Github: https://github.com/cvg/lightglue

πŸ“• Paper: https://arxiv.org/abs/2306.13643v1

πŸ”—Dataset: https://paperswithcode.com/dataset/hpatches

https://t.iss.one/DataScienceT
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πŸšΆβ€β™‚οΈ MotionGPT: Human Motion
as Foreign Language

MotionGPT consists of a motion tokenizer responsible for converting raw motion data into discrete motion tokens, as well as a motion-aware language model that learns to understand the motion tokens from large language pre-training models by corresponding textual descriptions.

⏩ Project: https://motion-gpt.github.io/

πŸ–₯ Github: https://github.com/openmotionlab/motiongpt

πŸ“• Paper: https://arxiv.org/pdf/2306.14795.pdf

πŸ”—Dataset: https://paperswithcode.com/dataset/amass

https://t.iss.one/DataScienceT
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PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation

πŸ–₯ Github: https://github.com/jieqianyu/panet

⏩ Paper: https://arxiv.org/pdf/2306.15348v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/kitti

https://t.iss.one/DataScienceT
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πŸ’¬ 3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement

A large-scale speech corpus to facilitate the research of speech representation

πŸ–₯ Github: https://github.com/alibaba-damo-academy/3D-Speaker

πŸ“• Paper: https://arxiv.org/abs/2306.15354v1

πŸ”—Dataset: https://3dspeaker.github.io/

https://t.iss.one/DataScienceT
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The source code for DragGAN has been released! πŸ”₯πŸ”₯πŸ”₯

We can finally play with that marvel!

πŸ”— GitHub repository: https://github.com/XingangPan/DragGAN

https://t.iss.one/DataScienceT
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πŸ“• Constrained-Text-Generation-Studio

AI writing assistant for recreational linguists, poets, creative writers, and/or researchers to use and study the ability of large-scale language models.

πŸ–₯ Github: https://github.com/hellisotherpeople/constrained-text-generation-studio

πŸ“• Paper: https://arxiv.org/abs/2306.15926v1

πŸ”—Dataset: https://huggingface.co/datasets/Hellisotherpeople/Lipogram-e

https://t.iss.one/DataScienceT
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