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 langua…

Code used in Novy-Marx and Velikov (2024), AI-Powered (Finance) Scholarship

An Interview Primer for Quantitative Finance

Machine Learning Journal for Intermediate to Advanced Topics.

Python and TypeScript library for integrating the Stripe API into agentic workflows

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

awesome confidence calibration paper list

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

An open source implementation of CLIP.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Examples and demos on how to use Retrieval Augmented Generation with Large Language Models

Generalist and Lightweight Model for Text Classification

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Seamlessly integrate LLMs into scikit-learn.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥

Mixture-of-Experts for Large Vision-Language Models

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

[NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models

Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

A package to work with SEC data. Incorporates datamule endpoints.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

This is a continuous project on Financial Misinformation Detection (FMD).

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)