Search awesome repositories

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Optimize prompts, code, and more with AI-powered Reflective Text Evolution

Technical Analysis Library using Pandas and Numpy

Repo for the Complete Agentic AI Engineering Course

A collection of infrastructure and tools for research in neural network interpretability.

Notebooks using the Hugging Face libraries 🤗

Performance analysis of predictive (alpha) stock factors

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Materials for the Hugging Face Diffusion Models Course

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

A Deep Learning based project for creating line art portraits.

Bayesian optimization in PyTorch

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

Python-based tools for document analysis and OCR

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

LLM Finetuning with peft

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

The hub for EleutherAI's work on interpretability and learning dynamics

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Model API for GALACTICA

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

FMA: A Dataset For Music Analysis

Machine Learning in Finance: From Theory to Practice Book

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Algorithms for outlier, adversarial and drift detection