| Name | Version | Summary | date |
| pysarcat |
1.0.6 |
Sientific papers categorization. |
2023-04-18 13:22:25 |
| nocv2easyocr |
0.1.1 |
This is a fork of the EasyOCR library without the opencv requirement |
2023-04-18 12:39:15 |
| time-series-cross-validation |
1.0.4 |
Library for cross-validating time series |
2023-04-14 00:54:30 |
| deep-tracking |
1.0.8 |
Library to track the development of data science works using the DE&P method |
2023-04-11 23:51:00 |
| taichu-model-server |
1.0.7 |
taichu serve is a tool for serving deep learning inference |
2023-04-10 07:19:28 |
| deep-collections |
0.4.2 |
Easy access to items in deep collections. |
2023-04-05 22:42:31 |
| aibo |
0.0.2 |
aibo: AI partner that can run offline |
2023-04-03 14:52:23 |
| peft-machinify |
0.3.0.dev0 |
Parameter-Efficient Fine-Tuning (PEFT) |
2023-03-25 00:43:08 |
| transformers-machinify |
4.27.0.dev0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-03-25 00:41:42 |
| deep-sorted |
0.0.3 |
Sorting of nested dicts and lists |
2023-03-16 20:36:14 |
| asone-ocr |
1.6.2 |
End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution |
2023-03-01 14:18:40 |
| bert-score |
0.3.13 |
PyTorch implementation of BERT score |
2023-02-20 21:07:29 |
| h4 |
0.1.0 |
Reinforcment Learning from Human Feedback |
2023-02-09 15:18:41 |
| nnabla-ext-cuda114 |
1.33.1 |
A CUDA(11.4) and cuDNN(8.2.4) extension of NNabla |
2023-02-09 03:48:04 |
| elegantrl |
0.3.6 |
Lightweight, Efficient and Stable DRL Implementation Using PyTorch |
2023-02-07 13:50:23 |
| tensorlayerx |
0.5.8 |
High Level Tensorflow Deep Learning Library for Researcher and Engineer. |
2023-02-03 07:53:22 |
| speechbox |
0.2.1 |
Speechbox |
2023-01-27 18:37:20 |
| ckls-test-lib |
4.2.7 |
John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment. |
2023-01-23 15:14:00 |
| in-transformers |
1.0.0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-01-19 01:56:21 |
| internet-ml |
3.1.0 |
Internet-ML: Allowing ML to connect to the internet |
2023-01-18 16:20:51 |