| Name | Version | Summary | date |
| qdrant-client |
1.12.2 |
Client library for the Qdrant vector search engine |
2024-12-27 17:39:38 |
| fastembed-gpu |
0.5.0 |
Fast, light, accurate library built for retrieval embedding generation |
2024-12-24 19:50:30 |
| fastembed |
0.5.0 |
Fast, light, accurate library built for retrieval embedding generation |
2024-12-24 19:46:53 |
| infinity-emb |
0.0.73 |
Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip. |
2024-12-10 09:03:47 |
| midi-neural-processor |
1.0.3 |
Tokenize MIDI files for neural network processing |
2024-11-25 08:39:21 |
| stablehlo-coreml-experimental |
0.0.11 |
Convert StableHLO models into Apple Core ML format |
2024-11-20 18:25:18 |
| llama-index-packs-cogniswitch-agent |
0.3.0 |
llama-index packs cogniswitch_agent integration |
2024-11-18 00:55:46 |
| llama-index-tools-cogniswitch |
0.3.0 |
llama-index tools cogniswitch integration |
2024-11-17 23:05:08 |
| embed |
0.3.0 |
A stable, fast and easy-to-use inference library with a focus on a sync-to-async API |
2024-09-24 06:04:14 |
| backtest-pro |
0.1.3 |
A feature-rich event driven backtesting framework |
2024-08-08 20:37:35 |
| simpleinference |
0.0.1.dev5 |
A stable and easy-to-use inference library with a focus on a sync-to-async API |
2024-06-25 18:27:33 |
| thetis |
0.2.1 |
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects. |
2024-06-11 14:26:21 |
| thetiscore |
0.2.1 |
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects. |
2024-06-11 14:25:49 |
| noisebase |
1.1.1 |
Datasets and benchmarks for neural Monte Carlo denoising |
2024-04-18 10:48:31 |