thomwolf

""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
    git clone https://github.com/myshell-ai/OpenVoice
    cd OpenVoice
    git clone https://huggingface.co/myshell-ai/OpenVoice
    cp -r OpenVoice/* .
    pip install whisper pynput pyaudio
"""

from openai import OpenAI
import time

ViniTheSwan

from stable_baselines3.common.env_util import make_atari_env
from stable_baselines3.common.vec_env import VecFrameStack
from stable_baselines3 import A2C

# There already exists an environment generator
# that will make and wrap atari environments correctly.
# Here we are also multi-worker training (n_envs=4 => 4 environments)
env = make_atari_env('BreakoutNoFrameskip-v4', n_envs=16)
# Frame-stacking with 4 frames
env = VecFrameStack(env, n_stack=4)

stefan-it

TPU VM Cheetsheat

This TPU VM cheatsheet uses and was tested with the following library versions:

Library	Version
JAX	0.3.25
FLAX	0.6.4
Datasets	2.10.1
Transformers	4.27.1

shawwn

#!/bin/sh
set -x

# == Swarm training (alpha release) ==

# Setup:
#
#   git clone https://github.com/shawwn/gpt-2
#   cd gpt-2
#   git checkout dev-shard

dcamilleri

#!/bin/bash 

function clearCaches {
  # Clear npm cache
  npm cache clean
  
  # Clear npm5 cache
  npm5 cache clear --force
}