Deepak-Rai-1027
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Docling with Ollama - RAG on Local Files with Local Models
Unsupervised text tokenizer for Neural Network-based text generation.
The Official Repo for "Quick Start Guide to Large Language Models"
The "Python Machine Learning (3rd edition)" book code repository
40 Algorithms Every Programmer Should Know, published by Packt
Solutions to Linear Algebra Done Right, by Sheldon Axler.
Code repository for O'Reilly book
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
Download market data from Yahoo! Finance's API
In this project we will build a MySQL database using the Internet Movie Database (IMDb) dataset.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A curated list of awesome responsible machine learning resources.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the bac…
The objective of this project is to predication of bike rental count on daily based on the environmental and seasonal settings. As it gets easy for an organisation to arrange the resource if the de…
All Algorithms implemented in Python
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Deepak-Rai-1027 / Machine-Learning-Books-With-Python
Forked from tdpetrou/Machine-Learning-Books-With-PythonChapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Numerical Tours of Signal Processing
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
A tool to generate your GitHub summary card for profile README