mrseeker

pship

Aship conversion for evennia

AI-Horde-Worker

This repo turns your PC into a AI Horde worker node

aphrodite-engine

PygmalionAI's large-scale inference engine

benchmarks

Fast and flexible reference benchmarks

bittensor

Internet-scale Neural Networks

bittensor-tester

bt-validators

Repository for bittensor validators

clm_model_tuning

convo-dataset

A vast dataset with diverse data used for training models to assist in conversation analysis and generation.

cowrie

Cowrie SSH Honeypot (based on kippo)

DO180-apps

DO180 Repository for Sample Applications

Dropbox-Uploader

Dropbox Uploader is a BASH script which can be used to upload, download, list or delete files from Dropbox, an online file sharing, synchronization and backup service.

explorer

Polkascan Substrate Explorer

explorer-ui

Polkascan Explorer UI

gpt-neo_dungeon

Colab notebooks to run a basic AI Dungeon clone using gpt-neo-2.7B

gpt-neo_finetune_2.7B

gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

grokfast

Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

hivemind

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

KoboldAI

KoboldAI-cluster

Turns KoboldAI into a giant cluster

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

mkultra

Prompt tuning toolkit for GPT-2 and GPT-Neo

mtj-softtuner

Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for free in a Google Colab TPU instance

python-omegle

A simple Python API for the Omegle chat service

Starlight

subtensor

Bittensor blockchain node

TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tortoise-tts

A multi-voice TTS system trained with an emphasis on quality

transformers

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