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Language Modelling with Pixels

PIXEL is a language model that operates on text rendered as images, fully removing the need for a fixed vocabulary.

Github: https://github.com/xplip/pixel

Paper: https://arxiv.org/abs/2207.06991v1

Dataset: https://paperswithcode.com/dataset/glue

Pretrained: https://huggingface.co/Team-PIXEL/pixel-base

@Machine_learn
3
سلام با توجه به مساله فیلترینگ دوستانی که نیاز به مشاوره و یا سوالی داشتند می تونن به شماره بنده پیام بدن یا تماس بگیرن 00989333900804
3
Machine learning books and papers pinned «سلام با توجه به مساله فیلترینگ دوستانی که نیاز به مشاوره و یا سوالی داشتند می تونن به شماره بنده پیام بدن یا تماس بگیرن 00989333900804»
🎓 YATO: Yet Another deep learning based Text analysis Open toolkit

pip install ylab-yato

⚙️ Github
📋 Paper
📌 Dataset

@Machine_learn
1
📎 Dilated Neighborhood Attention Transformer

natural, flexible and efficient extension to NA that can capture more global context and expand receptive fields exponentially at no additional cost.

⚙️ Github
🗒 Model
📋 Paper
📌 Dataset

@Machine_learn
1
با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم .
1: introduction to machine learning
2: Regression (linear and non-linear)
3: Tensorflow introduction
4: Tensorflow computaion graph
5: Tensorflow optimizer and loss function
6: Tensorflow linear and non linear regression
7: logistic regression
8: Tensorflow regression
___________
9: introduction to traditional machine learning
*10: knn and desicion tree
*11: desicion tree and Naive bayes
*12: desicion tree, knn, Naive bayes implementation
*13: k-means
*14: Guassion Mixture Model(GMM)
*15: implementation K-means and GMM
_____
16: introduction to Artificial Neural Network
17: Multi-level Neural Network
18: Introduction to Convolution Neural Network
19: Tensorflow Multi-level Neural Network
20:Tensorflow CNN
21:CNN image clasaification
22: Cnn text clasaification
23: Recurrent Neural Network(RNN)

جهت تهیه می تونین به ایدی بنده مراجعه کنین

@Raminmousa
👍2
Advanced Data Analytics Using Python.pdf
2.2 MB
Advanced Data Analytics Using Python
With Machine Learning, Deep Learning and NLP Examples
#book #Ml
@Machine_learn
Deep_RL.pdf
3.4 MB
Deep Reinforcement Learning
CS 285, University of California, Berkeley
Harry Zhang December 2019
#book
@Machine_learn
⭐️ Traffic4cast 2022 Competition: from few public vehicle counters to entire city-wide traffic

🖥 Github: https://github.com/iarai/neurips2022-traffic4cast

🗒 Paper: https://arxiv.org/abs/2211.09984v1

➡️ Dataset: https://developer.here.com/sample-data

@Machine_learn
➡️ AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

🖥 Github: https://github.com/MVIG-SJTU/AlphaPose

📝 Colab: https://colab.research.google.com/drive/1c7xb_7U61HmeJp55xjXs24hf1GUtHmPs?usp=sharing

🗒 Paper: https://arxiv.org/abs/2211.03375v1

➡️ Dataset: https://paperswithcode.com/dataset/hico-det

@Machine_learn
1
2025/07/08 13:14:46
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