| Name | Version | Summary | date |
| statictorch |
0.0.3 |
Provides type annotations for torch tensors. |
2025-01-18 06:40:40 |
| caskade |
0.6.3 |
Package for building scientific simulators, with dynamic arguments arranged in a directed acyclic graph. |
2025-01-17 16:20:02 |
| Afine |
0.0.2 |
Afine is a gradient based PyTorch optimizer. |
2025-01-17 14:02:41 |
| pytorch-frame |
0.2.4 |
Tabular Deep Learning Library for PyTorch |
2025-01-17 07:02:54 |
| ultralytics-thop |
2.0.14 |
Ultralytics THOP package for fast computation of PyTorch model FLOPs and parameters. |
2025-01-16 21:38:06 |
| lightning-sdk |
0.1.47 |
SDK to develop using Lightning AI Studios |
2025-01-16 12:20:58 |
| ai-edge-torch-nightly |
0.3.0.dev20250116 |
Supporting PyTorch models with the Google AI Edge TFLite runtime. |
2025-01-16 11:34:11 |
| rlportfolio |
0.2.1 |
Reinforcement learning framework for portfolio optimization tasks. |
2025-01-16 04:39:00 |
| llmcompressor |
0.4.0 |
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. |
2025-01-16 03:07:54 |
| swarm-models |
0.3.1 |
Swarm Models - TGSC |
2025-01-16 01:34:53 |
| llmcompressor-nightly |
0.4.0.20250115 |
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. |
2025-01-15 20:10:48 |
| hopsworks |
4.1.5 |
Hopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving |
2025-01-15 17:46:45 |
| ONTraC |
1.1.3 |
A niche-centered, machine learning method for constructing spatially continuous trajectories |
2025-01-15 17:43:06 |
| pyg-nightly |
2.7.0.dev20250115 |
Graph Neural Network Library for PyTorch |
2025-01-15 06:08:06 |
| fuxictr |
2.3.7 |
A configurable, tunable, and reproducible library for CTR prediction |
2025-01-14 23:53:15 |
| sae-bench |
0.3.2 |
A framework for evaluating sparse autoencoders |
2025-01-14 23:48:01 |
| hypothesis-torch |
0.8.11 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2025-01-14 23:42:56 |
| litdata |
0.2.36 |
The Deep Learning framework to train, deploy, and ship AI products Lightning fast. |
2025-01-14 23:02:59 |
| sae-lens |
5.3.1 |
Training and Analyzing Sparse Autoencoders (SAEs) |
2025-01-14 22:06:03 |
| astrophot |
0.16.7 |
A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry. |
2025-01-14 18:22:16 |