Name | Version | Summary | date |
wisdem |
3.18.1 |
Wind-Plant Integrated System Design & Engineering Model |
2024-12-19 01:34:22 |
image-classification-jax |
0.1.4 |
Run image classification experiments in JAX with ViT, resnet, cifar10, cifar100, imagenette, and imagenet. |
2024-12-18 23:59:49 |
codeflash |
0.8.4 |
Client for codeflash.ai - automatic code performance optimization, powered by AI |
2024-12-18 23:58:04 |
haupt |
2.5.3 |
Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon. |
2024-12-18 22:17:00 |
sport-activities-features |
0.5.0 |
A minimalistic toolbox for extracting features from sport activity files |
2024-12-18 18:23:05 |
ast_monitor |
0.5.3 |
AST-Monitor is a wearable Raspberry Pi computer for cyclists |
2024-12-18 18:22:30 |
invrs-opt |
0.10.1 |
Algorithms for inverse design |
2024-12-18 00:39:45 |
nextmv |
0.14.2 |
The Python SDK for Nextmv |
2024-12-17 15:07:36 |
primo-optimizer |
0.2.1 |
PRIMO - The P&A Project Optimizer |
2024-12-17 15:06:45 |
flamo |
0.0.18 |
An Open-Source Library for Frequency-Domain Differentiable Audio Processing |
2024-12-17 08:36:50 |
torch-levenberg-marquardt |
1.1.2 |
PyTorch implementation of Levenberg-Marquardt training algorithm |
2024-12-14 23:52:27 |
lipsutils |
0.0.3 |
Internal utilities shared by the Princeton LIPS group. |
2024-12-14 18:45:54 |
beeoptimal |
0.1.1 |
A Python implementation of the Artificial Bee Colony (ABC) optimization algorithm |
2024-12-14 17:28:34 |
congruent |
0.0.2 |
A CLI for interacting with LLMs, with tracking, validation, integrations, and UI. |
2024-12-13 13:49:24 |
nygrid |
0.1.2 |
A python version of the NYgrid model |
2024-12-13 01:21:06 |
iesopt |
2.2.1 |
IESopt -- an Integrated Energy System Optimization framework. |
2024-12-12 22:16:51 |
invrs-gym |
1.4.4 |
A collection of inverse design challenges |
2024-12-12 17:05:25 |
cashocs |
2.3.3 |
Computational Adjoint-Based Shape Optimization and Optimal Control Software |
2024-12-12 15:32:58 |
llmcompressor |
0.3.1 |
A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation. |
2024-12-12 13:05:51 |
mg-pso-gui |
0.2.63 |
GUI for MG-PSO |
2024-12-11 22:29:39 |