Integrate cutting-edge LLM technology quickly and easily into your apps

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Get up and running with Llama 3, Mistral, Gemma 2, and other large language models.

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Kolmogorov Arnold Networks

Blazingly fast LLM inference.

Pre-training code for Amber 7B LLM

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

Tuning and Evaluation of RAG pipeline. (Automated optimization to be added soon)

A unified multi-task time series model.

Probabilistic time series modeling in Python

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Resources about time series forecasting and deep learning.

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

PyTorch code and models for V-JEPA self-supervised learning from video.

Open standard for machine learning interoperability

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

🦜🔗 Build context-aware reasoning applications

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

A Library for Advanced Deep Time Series Models.

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)