No project description provided
Project description
Torch Lure
Depndencies
pip install git+https://github.com/Farama-Foundation/Minari.git@19565bd8cd33f2e4a3a9a8e4db372044b01ea8d3
pip install torch-lure
Usage
import torchlure as lure
# Optimizers
lure.SophiaG(lr=1e-3, weight_decay=0.2)
# Functions
lure.tanh_exp(x)
lure.TanhExp()
lure.quantile_loss(y_pred, y_target, quantile=0.5)
lure.QuantileLoss(quantile=0.5)
lure.RMSNrom(dim=256, eps=1e-6)
# Noise Scheduler
lure.LinearNoiseScheduler(beta=1e-4, beta_end=0.02, num_timesteps=1000)
lure.CosineNoiseScheduler(max_beta=0.999, s=0.008, num_timesteps=1000):
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
torchlure-0.2405.3.dev0.tar.gz
(11.8 kB
view hashes)
Built Distribution
Close
Hashes for torchlure-0.2405.3.dev0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e750567a88d0af4a7066b84059e1a8f226b4b754d9b5ae34f90f2930899b58f1 |
|
MD5 | 5dc088f2ada2d5b87d379d21924d9042 |
|
BLAKE2b-256 | 4095f84f1b50ed6500c53fe74a7e326875ad9a9d2dbde5051c51835c6c284489 |