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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Jupyter Notebook 6,857 669 Updated Sep 21, 2024

AI Observability & Evaluation

Jupyter Notebook 3,525 262 Updated Sep 29, 2024

LLM Zoomcamp - a free online course about building a Q&A system

Jupyter Notebook 2,787 436 Updated Sep 19, 2024

Evaluation and Tracking for LLM Experiments

Python 2,066 181 Updated Sep 28, 2024

LlamaIndex is a data framework for your LLM applications

Python 35,755 5,055 Updated Sep 29, 2024

Metric learning and retrieval pipelines, models and zoo.

Python 865 62 Updated Aug 20, 2024

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Clas…

Jupyter Notebook 48 17 Updated Jun 14, 2023

This is Andrew NG Coursera Handwritten Notes.

Jupyter Notebook 2,531 998 Updated Mar 7, 2024

Repository to store sample python programs for python learning

Jupyter Notebook 6,837 16,763 Updated Jul 28, 2024

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…

Jupyter Notebook 1,213 1,498 Updated Jun 30, 2024

FinRL: Financial Reinforcement Learning. 🔥

Jupyter Notebook 9,698 2,353 Updated Sep 28, 2024

Files for attendees of my PythonFullThrottle Safari Online Learning Live Training

Jupyter Notebook 216 224 Updated Aug 5, 2024

Research Repo (Archive)

Jupyter Notebook 69 67 Updated Oct 6, 2020

Solutions to exercises from Gelman&Hill's "Data analysis using regression and multilevel hierarchical models"

Jupyter Notebook 3 Updated Sep 30, 2022

A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.

Jupyter Notebook 18 8 Updated Jul 13, 2020

Fit interpretable models. Explain blackbox machine learning.

C++ 6,231 725 Updated Sep 28, 2024

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Jupyter Notebook 857 367 Updated Sep 18, 2022

Tirthajyoti's Home Page about machine learning, statistics, analytics

HTML 22 12 Updated May 2, 2022

Fundamentals of Spark with Python (using PySpark), code examples

Jupyter Notebook 328 262 Updated Oct 29, 2022

Deep learning codes and projects using Python

Jupyter Notebook 348 206 Updated Mar 29, 2021

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Jupyter Notebook 3,075 1,794 Updated May 22, 2023

Carefully curated resource links for data science in one place

2,873 979 Updated Aug 17, 2024

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

Jupyter Notebook 224 141 Updated Oct 27, 2021

Machine learning, Deep Learning, CNN with PyTorch

Jupyter Notebook 80 30 Updated Apr 23, 2020

Design-of-experiment (DOE) generator for science, engineering, and statistics

Jupyter Notebook 247 92 Updated Apr 3, 2024

Learning the impact of Hyperparameters in a deep learning model

Jupyter Notebook 7 14 Updated Jul 3, 2019

Basic Reinforcement Learning algorithms

Jupyter Notebook 18 12 Updated Jun 6, 2019

Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

Jupyter Notebook 36 24 Updated Apr 12, 2019

Working with and analyzing Wikipedia Data

Jupyter Notebook 691 287 Updated Apr 29, 2023

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Jupyter Notebook 642 325 Updated Jan 20, 2024
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