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NVIDIA just made Pandas 150x faster with zero code changes.
All you have to do is:
Their RAPIDS library will automatically know if you're running on GPU or CPU and speed up your processing.
You can try it in this colab notebook
GitHub repo: https://github.com/rapidsai/cudf
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All you have to do is:
%load_ext cudf.pandas
import pandas as pd
Their RAPIDS library will automatically know if you're running on GPU or CPU and speed up your processing.
You can try it in this colab notebook
GitHub repo: https://github.com/rapidsai/cudf
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π7β€2
πͺ Mirror: A Universal Framework for Various Information Extraction Tasks
π₯ Github: https://github.com/Spico197/Mirror
π Paper: https://arxiv.org/abs/2311.05419v1
π Dataset: https://paperswithcode.com/dataset/glue
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π₯ Github: https://github.com/Spico197/Mirror
π Paper: https://arxiv.org/abs/2311.05419v1
π Dataset: https://paperswithcode.com/dataset/glue
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π6β€2
Conic10K
π₯ Github:https://github.com/whynlp/conic10k
π Paper: https://arxiv.org/pdf/2311.05113v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/gsm8k
β¨ Tasks: https://paperswithcode.com/task/natural-language-understanding
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π₯ Github:https://github.com/whynlp/conic10k
π Paper: https://arxiv.org/pdf/2311.05113v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/gsm8k
β¨ Tasks: https://paperswithcode.com/task/natural-language-understanding
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π6
β‘οΈ LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.
π₯ Github: https://github.com/luosiallen/latent-consistency-model
π Paper: https://arxiv.org/abs/2311.05556v1
π Project: https://latent-consistency-models.github.io
π€ Demo: https://huggingface.co/spaces/SimianLuo/Latent_Consistency_Model
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Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.
pip install diffusers transformers accelerate gradio==3.48.0
π₯ Github: https://github.com/luosiallen/latent-consistency-model
π Paper: https://arxiv.org/abs/2311.05556v1
π Project: https://latent-consistency-models.github.io
π€ Demo: https://huggingface.co/spaces/SimianLuo/Latent_Consistency_Model
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π3
Quantized Distillation for Driver Activity Recognition
π₯ Github: https://github.com/calvintanama/qd-driver-activity-reco
π Paper: https://arxiv.org/pdf/2311.05970v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/drive-act
β¨ Tasks: https://paperswithcode.com/task/activity-recognition
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π₯ Github: https://github.com/calvintanama/qd-driver-activity-reco
π Paper: https://arxiv.org/pdf/2311.05970v1.pdf
π₯ Datasets: https://paperswithcode.com/dataset/drive-act
β¨ Tasks: https://paperswithcode.com/task/activity-recognition
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π1
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Perhaps you have thought about placing ads on it?
To do this, follow three simple steps:
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If the topic of your post fits our channel, we will publish it with pleasure.
Perhaps you have thought about placing ads on it?
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3) Create an advertising post
If the topic of your post fits our channel, we will publish it with pleasure.
π4
π Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Π‘hat & pretrained large audio language model proposed by Alibaba Cloud.
π± Github: https://github.com/qwenlm/qwen-audio
π Demo: https://qwen-audio.github.io/Qwen-Audio/
π Paper: https://arxiv.org/abs/2311.07919v1
β© Dataset: https://paperswithcode.com/dataset/vocalsound
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Π‘hat & pretrained large audio language model proposed by Alibaba Cloud.
π± Github: https://github.com/qwenlm/qwen-audio
π Demo: https://qwen-audio.github.io/Qwen-Audio/
π Paper: https://arxiv.org/abs/2311.07919v1
β© Dataset: https://paperswithcode.com/dataset/vocalsound
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π3
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π’ Introducing Emu Video and Emu Edit, our latest generative AI research milestones
π Meta: https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/
βοΈProject page: https://emu-edit.iss.onetademolab.com
πPaper: https://emu-edit.iss.onetademolab.com/assets/emu_edit.pdf
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π Meta: https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/
βοΈProject page: https://emu-edit.iss.onetademolab.com
πPaper: https://emu-edit.iss.onetademolab.com/assets/emu_edit.pdf
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π΄Data Science A-Zβ’: Hands-On Exercises & ChatGPT Bonus [2023]π΄
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
Price :- 120$ - 20$
Price: 20$
Contact @hussein_sheikho
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
Price: 20$
Contact @hussein_sheikho
π2
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π¦ Makani: Massively parallel training of machine-learning based weather and climate models
π±Github: https://github.com/NVIDIA/makani
πBlog: https://developer.nvidia.com/blog/modeling-earths-atmosphere-with-spherical-fourier-neural-operators/
β© Dataset: https://github.com/NVIDIA/makani/tree/main/datasets
π±Github: https://github.com/NVIDIA/makani
πBlog: https://developer.nvidia.com/blog/modeling-earths-atmosphere-with-spherical-fourier-neural-operators/
β© Dataset: https://github.com/NVIDIA/makani/tree/main/datasets
π4β€1
Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
π₯ Github: https://github.com/jaearly/miltimeseriesclassification
π Paper: https://arxiv.org/pdf/2311.10049v1.pdf
β¨ Tasks: https://paperswithcode.com/task/decision-making
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π₯ Github: https://github.com/jaearly/miltimeseriesclassification
π Paper: https://arxiv.org/pdf/2311.10049v1.pdf
β¨ Tasks: https://paperswithcode.com/task/decision-making
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π4
β SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
π₯ Github: https://github.com/OpenGVLab/SAM-Med2D
π₯ Colab: https://colab.research.google.com/github/OpenGVLab/SAM-Med2D/blob/main/predictor_example.ipynb
π Paper: https://arxiv.org/abs/2311.11969v1
βοΈ Dataset: https://arxiv.org/abs/2311.11969
π₯ Github: https://github.com/OpenGVLab/SAM-Med2D
π₯ Colab: https://colab.research.google.com/github/OpenGVLab/SAM-Med2D/blob/main/predictor_example.ipynb
π Paper: https://arxiv.org/abs/2311.11969v1
βοΈ Dataset: https://arxiv.org/abs/2311.11969
π7β€2
π¬ ShareGPT4V:Improving Large Multi-Modal Models with Better Captions
π₯ Code: https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V
π¦Ύ Project: https://sharegpt4v.github.io/
β‘οΈ Demo: https://huggingface.co/spaces/Lin-Chen/ShareGPT4V-7B
π Paper: https://arxiv.org/pdf/2311.12793.pdf
π Dataset: https://huggingface.co/datasets/Lin-Chen/ShareGPT4V
π₯ Code: https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V
π¦Ύ Project: https://sharegpt4v.github.io/
β‘οΈ Demo: https://huggingface.co/spaces/Lin-Chen/ShareGPT4V-7B
π Paper: https://arxiv.org/pdf/2311.12793.pdf
π Dataset: https://huggingface.co/datasets/Lin-Chen/ShareGPT4V
π2
minimax: Efficient Baselines for Autocurricula in JAX
π₯ Github: https://github.com/facebookresearch/minimax
π Paper: https://arxiv.org/pdf/2311.12716v1.pdf
β¨ Tasks: https://paperswithcode.com/task/decision-making
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π₯ Github: https://github.com/facebookresearch/minimax
π Paper: https://arxiv.org/pdf/2311.12716v1.pdf
β¨ Tasks: https://paperswithcode.com/task/decision-making
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π3
Forwarded from Python | Machine Learning | Coding | R
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π₯ flowty-realtime-lcm-canvas
A realtime sketch to image demo using LCM and the gradio library.
Source: https://github.com/flowtyone/flowty-realtime-lcm-canvas
π https://t.iss.one/CodeProgrammer
More Likes, Share, Subscribe πβ€οΈ
A realtime sketch to image demo using LCM and the gradio library.
Source: https://github.com/flowtyone/flowty-realtime-lcm-canvas
π https://t.iss.one/CodeProgrammer
More Likes, Share, Subscribe πβ€οΈ
π1
π£ HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation by Hierarchical Variational Inference for Zero-shot Speech Synthesis
π₯ Code: https://github.com/sh-lee-prml/hierspeechpp
π¦Ύ Checkpoint: https://drive.google.com/drive/folders/1-L_90BlCkbPyKWWHTUjt5Fsu3kz0du0w?usp=sharing
β‘οΈ Demo: https://sh-lee-prml.github.io/HierSpeechpp-demo/
π Paper: https://arxiv.org/abs/2311.12454v1
π Dataset: https://paperswithcode.com/dataset/libri-light
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π₯ Code: https://github.com/sh-lee-prml/hierspeechpp
π¦Ύ Checkpoint: https://drive.google.com/drive/folders/1-L_90BlCkbPyKWWHTUjt5Fsu3kz0du0w?usp=sharing
β‘οΈ Demo: https://sh-lee-prml.github.io/HierSpeechpp-demo/
π Paper: https://arxiv.org/abs/2311.12454v1
π Dataset: https://paperswithcode.com/dataset/libri-light
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ChessVision - A dataset for logically coherent multi-label classification.
π₯ Github: https://github.com/espressovi/chessvisionchallenge
π Paper: https://arxiv.org/pdf/2311.12610v1.pdf
β¨ Tasks: https://paperswithcode.com/task/classification-1
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π₯ Github: https://github.com/espressovi/chessvisionchallenge
π Paper: https://arxiv.org/pdf/2311.12610v1.pdf
β¨ Tasks: https://paperswithcode.com/task/classification-1
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π1
π₯ Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models.
π₯ Code: https://github.com/archerfmy/sd-t2i-360panoimage
π Paper: https://arxiv.org/abs/2311.13141v1
π Dataset: https://paperswithcode.com/dataset/sun360
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π₯ Code: https://github.com/archerfmy/sd-t2i-360panoimage
π Paper: https://arxiv.org/abs/2311.13141v1
π Dataset: https://paperswithcode.com/dataset/sun360
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π3