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How to Think Like a Computer Scientist: Interactive Edition

https://runestone.academy/ns/books/published/thinkcspy/index.html

@Machine_learn
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💨 Scaling hierarchical agglomerative clustering to trillion-edge graphs


https://research.google/blog/scaling-hierarchical-agglomerative-clustering-to-trillion-edge-graphs/

@Machine_learn
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با عرض سلام دو پکیچ یادگیری ماشین و یادگیری عمیق را برای دوستانی که می خواهند تا فرداشب با تخفیف ۵۰٪ مجدد قرار دادیم این تخفیف اخرین سری از تخفیف های این دو پکیچ می باشد
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
2202.07125v5.pdf
580.3 KB
paper :Transformers in Time Series: A Survey

#Transfromer #Time_series #DL
@Machine_learn
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Very cool cookbook here

PDF extractor, calendar agent, data analyst, financial agent & more

docs: https://docs.cohere.com/docs/multi-step-tool-use
cookbook: https://github.com/cohere-ai/notebooks/tree/main?tab=readme-ov-file#agents

@Machine_learn
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Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

🖥 Github: https://github.com/wangkai930418/DPL

📕 Paper: https://arxiv.org/abs/2405.01496v1

🔥Dataset: https://neurips.cc/virtual/2023/poster/72801

@Machine_learn
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Recurrent Neural Networks Learn to Store and Generate Sequences
using Non-Linear Representations


#RNN

https://arxiv.org/pdf/2408.10920


@Machine_learn
📃A key review on graph data science: The power of graphs in scientific studies



📎 Study paper

@Machine_learn
Paper: Scalable Autoregressive Image Generation with Mamba

Paper: https://arxiv.org/pdf/2408.12245v1.pdf

Code: https://github.com/hp-l33/aim

Dataset: ImageNet

@Machine_learn
🎓 Graph Neural Networks in Intrusion Detection

📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024



📎Study Thesis


@Machine_learn
DocsGPT

DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers.

Say goodbye to time-consuming manual searches, and let DocsGPT help you quickly find the information you need. Try it out and see how it revolutionizes your project documentation experience. Contribute to its development and be a part of the future of AI-powered assistance.

Creator: Arc53
Stars ⭐️: 7.4k
Forked By: 769
https://github.com/arc53/DocsGPT

#DocsGPT #GPT

@Machine_learn
2024/09/28 02:19:57
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