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This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
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…
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Metric learning and retrieval pipelines, models and zoo.
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…
This is Andrew NG Coursera Handwritten Notes.
Repository to store sample python programs for python learning
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…
FinRL®: Financial Reinforcement Learning. 🔥
Files for attendees of my PythonFullThrottle Safari Online Learning Live Training
Research Repo (Archive)
Solutions to exercises from Gelman&Hill's "Data analysis using regression and multilevel hierarchical models"
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
Fit interpretable models. Explain blackbox machine learning.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Tirthajyoti's Home Page about machine learning, statistics, analytics
Fundamentals of Spark with Python (using PySpark), code examples
Deep learning codes and projects using Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Carefully curated resource links for data science in one place
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Machine learning, Deep Learning, CNN with PyTorch
Design-of-experiment (DOE) generator for science, engineering, and statistics
Learning the impact of Hyperparameters in a deep learning model
Basic Reinforcement Learning algorithms
Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
Working with and analyzing Wikipedia Data