| Name | Version | Summary | date |
| effector |
0.0.276 |
A Python library for global and regional effects |
2025-02-02 22:36:30 |
| titans-pytorch |
0.3.23 |
Titans |
2025-02-02 22:17:05 |
| datadreamer.dev |
0.46.0 |
Prompt. Generate Synthetic Data. Train & Align Models. |
2025-02-02 21:20:05 |
| pixano |
0.6.4 |
Data-centric AI building blocks for computer vision applications |
2025-02-02 17:52:32 |
| classifier_trains |
1.1.8 |
A PyTorch-based deep learning classifier training framework. |
2025-02-02 14:01:31 |
| step-kit |
0.3 |
STEP, an acronym for Spatial Transcriptomics Embedding Procedure, is a deep learning-based tool for the analysis of single-cell RNA (scRNA-seq) and spatially resolved transcriptomics (SRT) data. STEP introduces a unified approach to process and analyze multiple samples of scRNA-seq data as well as align several sections of SRT data, disregarding location relationships. Furthermore, STEP conducts integrative analysis across different modalities like scRNA-seq and SRT. |
2025-02-02 11:59:12 |
| agi-open-network-cn |
0.1.0 |
AGI Open Network China Models - A Simple and Powerful Framework for Chinese AI Models |
2025-02-02 11:28:57 |
| tf-keras-nightly |
2.19.0.dev2025020210 |
Deep learning for humans. |
2025-02-02 10:58:55 |
| swarms |
7.0.9 |
Swarms - TGSC |
2025-02-02 01:33:57 |
| imsy-htc |
0.0.19 |
Framework for automatic classification and segmentation of hyperspectral images. |
2025-02-01 17:57:43 |
| relab |
0.5.0 |
Reinforcement learning made easy with prebuilt agents, Gym integration, and performance visualization. |
2025-02-01 17:02:37 |
| transfusion-pytorch |
0.10.1 |
Transfusion in Pytorch |
2025-02-01 14:27:13 |
| nptorch |
0.0.2 |
A PyTorch clone made using NumPy (for CPU) and CuPy (for GPU) |
2025-02-01 12:11:21 |
| netron |
8.1.5 |
Viewer for neural network, deep learning and machine learning models. |
2025-02-01 03:52:16 |
| outlines-core |
0.2.2 |
Structured Text Generation in Rust |
2025-01-31 23:12:19 |
| python-doctr |
0.11.0 |
Document Text Recognition (docTR): deep Learning for high-performance OCR on documents. |
2025-01-30 09:29:41 |
| prodigy-plus-schedule-free |
1.9.0 |
Automatic learning rate optimiser based on Prodigy and Schedule-Free |
2025-01-30 02:03:31 |
| agentgym |
0.0.2 |
Agent Gym - Pytorch |
2025-01-29 19:19:49 |
| fluke-fl |
0.5.1 |
Federated Learning Utility framework for Experimentation and research. |
2025-01-29 15:04:46 |
| sentence-transformers |
3.4.1 |
State-of-the-Art Text Embeddings |
2025-01-29 14:25:55 |