Name | Version | Summary | date |
netron |
7.9.2 |
Viewer for neural network, deep learning and machine learning models. |
2024-09-28 20:53:59 |
alphafold3-pytorch |
0.5.48 |
Alphafold 3 - Pytorch |
2024-09-28 17:31:53 |
transfusion-pytorch |
0.1.0 |
Transfusion in Pytorch |
2024-09-28 16:06:45 |
tf-keras-nightly |
2.19.0.dev2024092809 |
Deep learning for humans. |
2024-09-28 09:58:57 |
ema-pytorch |
0.6.3 |
Easy way to keep track of exponential moving average version of your pytorch module |
2024-09-28 02:23:11 |
RAGFlowChain |
0.2.0 |
A comprehensive toolkit for building Retrieval-Augmented Generation (RAG) pipelines, including data loading, vector database creation, retrieval, and chain management. |
2024-09-28 00:10:09 |
vocos-mlx |
0.0.1 |
Vocos - MLX |
2024-09-27 20:17:06 |
smartredis |
0.6.1 |
RedisAI clients for SmartSim |
2024-09-27 20:15:49 |
phiml |
1.9.0 |
Unified API for machine learning |
2024-09-27 15:39:46 |
cesnet-models |
0.2.8 |
Pre-trained neural networks for encrypted traffic classification |
2024-09-27 13:56:51 |
numpy-typing |
1.0.1 |
Improved numpy typing anotations |
2024-09-27 12:45:05 |
onnxtr |
0.5.0 |
Onnx Text Recognition (OnnxTR): docTR Onnx-Wrapper for high-performance OCR on documents. |
2024-09-27 11:17:06 |
cryptoagent |
0.0.1 |
cryptoagent - Swarms |
2024-09-27 03:02:37 |
autoregressive-diffusion-pytorch |
0.2.7 |
Autoregressive Diffusion - Pytorch |
2024-09-26 18:18:29 |
vector-quantize-pytorch |
1.17.8 |
Vector Quantization - Pytorch |
2024-09-26 17:07:40 |
pymia |
0.3.3 |
A Python package for data handling and evaluation in deep learning-based medical image analysis. |
2024-09-26 15:26:55 |
pypots |
0.8.1 |
A Python Toolbox for Machine Learning on Partially-Observed Time Series |
2024-09-26 05:57:24 |
aistore |
1.8.0 |
A (growing) set of client-side APIs to access and utilize clusters, buckets, and objects on AIStore. |
2024-09-26 02:10:08 |
IndoxGen |
0.0.2 |
Indox Synthetic Data Generation |
2024-09-25 14:59:25 |
azula |
0.2.2 |
Diffusion models in PyTorch |
2024-09-25 14:28:31 |