Config files for my GitHub profile.

Aura is like Siri, but in your browser. An AI voice assistant optimized for low latency responses.

Data used in the paper "Portfolio optimisation: bridging the gap between theory and practice"

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Python code to pull information from the Premier League Fantasy Football website, and use machine learning techniques to try to predict high scoring players each gameweek

CASE STUDY: Financial Institution's ML Trading Bot, using the SVC Classifier Model for Support Vector Machine (SVM).

An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.

Mamba SSM architecture

Mamba-Chat: A chat LLM based on the state-space model architecture 🐍

FinRL: Financial Reinforcement Learning. 🔥

Implementation for MatMul-free LM.

Paper list of multi-agent reinforcement learning (MARL)

Paper list of multi-agent reinforcement learning (MARL)

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Making large AI models cheaper, faster and more accessible

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)

An Innovative Agent Framework Driven by KG Engine

Workshop to build and deploy your own Chat Agent using Retrieval Augmented Generation with Astra DB

Unified framework for building enterprise RAG pipelines with small, specialized models

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google …

A complete computer science study plan to become a software engineer.