Machine learning books and papers

Awesome-LLM-as-a-judge Survey

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Machine learning books and papers pinned Deleted message

نفر ۵ از این پروژه همچنان خالی هست...!
@Raminmousa

RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains


Paper: https://arxiv.org/pdf/2501.19205v1.pdf

Code: https://github.com/camlab-ethz/rigno



@Machine_learn

Free Certification Courses to Learn Data Analytics in 2025:

1. Python
🔗 https://imp.i384100.net/5gmXXo

2. SQL
🔗 https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql

3. Statistics and R
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4. Data Science: R Basics
🔗https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

5. Excel and PowerBI
🔗 https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
🔗https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

7. Data Science: Machine Learning
🔗https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

8. R
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9. Tableau
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10. PowerBI
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11. Data Science: Productivity Tools
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12. Data Science: Probability
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13. Mathematics
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14. Statistics
🔗 https://lnkd.in/df6qksMB

15. Data Visualization
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16. Machine Learning
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17. Deep Learning
🔗 https://imp.i384100.net/R5aPOR

18. Data Science: Linear Regression
🔗https://pll.harvard.edu/course/data-science-linear-regression/2023-10

19. Data Science: Wrangling
🔗https://edx.org/learn/data-science/harvard-university-data-science-wrangling

20. Linear Algebra
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
🔗 https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
🔗https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

23. Data Science: Capstone
🔗 https://edx.org/learn/data-science/harvard-university-data-science-capstone

24. Data Analysis
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY

26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2

27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA

@Machine_learn

A Little Bit of Reinforcement Learning
from Human Feedback

📓 Book


@Machine_learn

LLMs can see and hear without any training

30 Jan 2025 · Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen, Ishan Misra, Rohit Girdhar ·

We present MILS: Multimodal Iterative LLM Solver, a surprisingly simple, training-free approach, to imbue multimodal capabilities into your favorite LLM. Leveraging their innate ability to perform multi-step reasoning, MILS prompts the LLM to generate candidate outputs, each of which are scored and fed back iteratively, eventually generating a solution to the task. This enables various applications that typically require training specialized models on task-specific data. In particular, we establish a new state-of-the-art on emergent zero-shot image, video and audio captioning. MILS seamlessly applies to media generation as well, discovering prompt rewrites to improve text-to-image generation, and even edit prompts for style transfer! Finally, being a gradient-free optimization approach, MILS can invert multimodal embeddings into text, enabling applications like cross-modal arithmetic.

Paper: https://arxiv.org/pdf/2501.18096v1.pdf

Code: https://github.com/facebookresearch/mils
✅
https://t.me/deep_learning_proj

20% از کارهای این مقاله انجام شده و این اخرین فرصت برای جوین شدن به پروژست.

@Raminmousa

Machine Learning for High-Risk Applications

@Machine_learn

با عرض سلام نفر ٥ ام از پروژه جديدمون باقي مونده و ٦ جايگاه ديگه پر شدن.
امكان اموزش كامل كار
كدنويسي كار
نحوه جمع اوري داده ها
نگارش مقاله در اين كار وجود داره


Project Title: MedRec: Medical recommender system for image classification without retraining

Github: https://github.com/Ramin1Mousa/MedicalRec

Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence

Impact factor: 20.8




🔺 5- 300$
جهت مشارکت می تونید به ایدی بنده پیام بدین.
@Raminmousa

Machine learning books and papers pinned «با عرض سلام در يكي از پروژه هاي طبقه بندي سرطان پوست نياز به مشاركت داريم. جايگاه نفر سوم خالي مي باشد. 🔸🔻🔸🔻🔸🔻🔻 @Raminmousa»

با عرض سلام در يكي از پروژه هاي طبقه بندي سرطان پوست نياز به مشاركت داريم. جايگاه نفر سوم خالي مي باشد.

🔸🔻🔸🔻🔸🔻🔻
@Raminmousa

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training

🖥 Github: https://github.com/penfever/wildchat-50m

📕 Paper: https://arxiv.org/abs/2501.18511v1

🧠 Dataset: https://huggingface.co/collections/nyu-dice-lab/wildchat-50m-679a5df2c5967db8ab341ab7

@Machine_learn

📃Can social network analysis contribute to supply chain
management? A systematic literature review and
bibliometric analysis


📎 Study paper


@Machine_learn

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Paper: https://arxiv.org/pdf/2401.02954v1.pdf

Code: https://github.com/deepseek-ai/deepseek-llm

Dataset: AlignBench


@Machine_learn

OpenAI o3-mini System Card

📚 Reed

@Machine_learn

اخرین زمان برای مشارکت در این پروژه تا اخر شب...!
@Raminmousa

🐋 DeepClaude


git clone https://github.com/getasterisk/deepclaude.git
cd deepclaude

▪ Github
▪Docs

@Machine_learn

Natural Language Processing with Transformers Building Language Applications
with Hugging Face

#Book

@Machine_learn

International AI Safety Report

📚 Report

@Machine_learn