Name | Version | Summary | date |
ztxexp |
0.1.0 |
一个轻量、强大的Python库,旨在简化计算实验的管理、执行和分析。 |
2025-08-03 12:37:22 |
foreblocks |
0.1.4 |
Modular Time Series Forecasting Library |
2025-08-03 09:28:29 |
variational-autoencoder-pytorch-lib |
0.1.2 |
A package to simplify the implementing a variational-autoencoder model with spacial latent heads. |
2025-08-03 08:06:40 |
evolutionary-policy-optimization |
0.2.15 |
EPO - Pytorch |
2025-08-03 02:20:48 |
opda |
0.8.0 |
Design and analyze optimal deep learning models. |
2025-08-03 02:14:26 |
PaLM-rlhf-pytorch |
0.5.4 |
PaLM + Reinforcement Learning with Human Feedback - Pytorch |
2025-08-02 23:20:32 |
phiml |
1.14.1 |
Unified API for machine learning |
2025-08-02 21:33:13 |
phiflow |
3.4.0 |
Differentiable PDE solving framework for machine learning |
2025-08-02 21:29:06 |
roicat |
1.5.4 |
A library for classifying and tracking ROIs. |
2025-08-02 20:36:01 |
x-transformers-rl |
0.0.98 |
X-Transformer for RL |
2025-08-02 17:55:29 |
SRT-H |
0.0.1 |
MMDiT |
2025-08-02 15:57:05 |
neurolite |
0.2.0 |
AI/ML/DL/NLP productivity library for minimal-code machine learning workflows |
2025-08-02 12:14:37 |
rectified-flow-pytorch |
0.3.31 |
Rectified Flow in Pytorch |
2025-08-01 18:21:00 |
pyautoencoder |
1.0.5 |
A Python package offering implementations of state-of-the-art autoencoder architectures in PyTorch. |
2025-08-01 13:31:38 |
convolutional-variational-autoencoder-pytorch |
0.1.1 |
A package to simplify the implementing a variationsl-autoencoder model. |
2025-07-31 16:50:39 |
medimm |
0.0.20 |
PyTorch Medical 3D Image Models |
2025-07-31 14:34:55 |
h-net-dynamic-chunking |
0.2.2 |
H-Net Dynamic Chunking Modules |
2025-07-31 13:24:37 |
litserve |
0.2.15 |
Lightweight AI server. |
2025-07-31 11:46:58 |
signxai2 |
0.13.7 |
A comprehensive explainable AI library supporting both TensorFlow and PyTorch with unified API and advanced XAI methods including SIGN, LRP, and Grad-CAM. Authored by Nils Gumpfer, Jana Fischer and Alexander Paul. |
2025-07-31 11:24:46 |
matcalc |
0.4.2 |
Calculators for materials properties from the potential energy surface. |
2025-07-31 05:48:13 |