cedvogt

fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

corenet

CoreNet: A library for training deep neural networks

LLMs-from-scratch

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

spinningup

An educational resource to help anyone learn deep reinforcement learning.

mlx-examples

Examples in the MLX framework

BetterChatGPT

An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)

lm-format-enforcer

Enforce the output format (JSON Schema, Regex etc) of a language model

llama.cpp

LLM inference in C/C++

trl

Train transformer language models with reinforcement learning.

llama

Inference code for Llama models

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

Building-with-Instruction-Tuned-LLMs-A-Step-by-Step-Guide

Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSw

Med-PaLM

Towards Generalist Biomedical AI

Awesome-Medical-Healthcare-Dataset-For-LLM

A curated list of popular Datasets, Models and Papers for LLMs in Medical/Healthcare

ml-stable-diffusion

Stable Diffusion with Core ML on Apple Silicon

llm-radiology-reports

promptflow

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

yarn

YaRN: Efficient Context Window Extension of Large Language Models

IF

azure-dev

A developer CLI that reduces the time it takes for you to get started on Azure. The Azure Developer CLI (azd) provides a set of developer-friendly commands that map to key stages in your workflow - code, build, deploy, monitor, repeat.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

MSAD

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

STraTS

Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

RTSGAN

AutoGPT

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.

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

VAE-LSTM-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.