| Name | Version | Summary | date |
| x-transformers |
1.31.3 |
X-Transformers - Pytorch |
2024-06-27 17:59:08 |
| gliner |
0.2.6 |
Generalist model for NER (Extract any entity types from texts) |
2024-06-27 00:19:27 |
| meshgpt-pytorch |
1.5.3 |
MeshGPT Pytorch |
2024-06-25 19:15:42 |
| fastopic |
0.0.3 |
FASTopic |
2024-06-22 09:34:00 |
| sibila |
0.4.5 |
Structured queries from local or online LLM models |
2024-06-21 16:11:02 |
| belt-nlp |
1.1.0 |
BELT (BERT For Longer Texts). BERT-based text classification model for processing texts longer than 512 tokens. |
2024-06-19 12:48:26 |
| openllm-core |
0.5.7 |
OpenLLM Core: Core components for OpenLLM. |
2024-06-14 02:49:51 |
| openllm-client |
0.5.7 |
OpenLLM Client: Interacting with OpenLLM HTTP/gRPC server, or any BentoML server. |
2024-06-14 02:49:50 |
| openllm |
0.5.7 |
OpenLLM: Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud. |
2024-06-14 02:49:48 |
| zeldarose |
0.11.0 |
Train transformer-based models |
2024-06-12 12:41:38 |
| taxonerd |
1.5.4 |
A Python package and CLI tool based on spaCy for detecting mentions of taxonomic entities in text |
2024-06-12 08:11:47 |
| querent |
3.1.2 |
The Asynchronous Data Dynamo and Graph Neural Network Catalyst |
2024-06-10 11:13:54 |
| glirel |
0.1.1 |
Generalist model for Relation Extraction (Extract any relation types from texts) |
2024-06-07 20:34:40 |
| trl |
0.9.4 |
Train transformer language models with reinforcement learning. |
2024-06-06 14:14:32 |
| momentfm |
0.1 |
MOMENT: A Family of Open Time Series Foundation Models |
2024-05-30 02:19:45 |
| optimum-benchmark |
0.2.1 |
Optimum-Benchmark is a unified multi-backend utility for benchmarking Transformers, Timm, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes. |
2024-05-17 09:25:34 |
| spacyrerank |
0.0.6 |
Rank phrases and text based on query by leveraging hugging-face models. |
2024-05-17 06:44:03 |
| iTransformer |
0.6.0 |
iTransformer - Inverted Transformer Are Effective for Time Series Forecasting |
2024-05-10 14:33:23 |
| infini-transformer-pytorch |
0.1.1 |
Infini-Transformer in Pytorch |
2024-05-09 14:30:15 |
| q-transformer |
0.1.15 |
Q-Transformer |
2024-05-07 17:21:23 |