A collection of resources and papers on Diffusion Models

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

🦜🔗 Build context-aware reasoning applications

LLM training code for Databricks foundation models

StableLM: Stability AI Language Models

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Advanced ChatGPT Prompts

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.

Scala 3 bindings for llama.cpp 🦙

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

Suno AI's Bark model in C/C++ for fast text-to-speech generation

(Unofficial) Implementation of dilated attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens" (https://arxiv.org/abs/2307.02486)

A truly natural scripting language

Text-to-Audio/Music Generation

Statistical Machine Intelligence & Learning Engine

M-LOOP: Machine-learning online optimization package

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

ACE (Autonomous Cognitive Entities) - 100% local and open source autonomous agents

🔎 Semantic search for developers

GPT-2 small trained on phi-like data

Open-source vector similarity search for Postgres

[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

LLMs for your CLI

Foundation Architecture for (M)LLMs

Integrating probabilistic algorithms into Spark using DataSketches

Rust bindings for Metal