| Name | Version | Summary | date |
| forked-torchtitan |
0.202.2 |
A native-PyTorch library for large scale LLM training |
2024-09-04 09:39:18 |
| contextqa |
2.0.5 |
Chat with your data by leveraging the power of LLMs and vector databases |
2024-09-04 05:28:14 |
| llmgraph |
1.3.1 |
Create knowledge graphs with LLMs |
2024-08-31 08:06:26 |
| lazyllm-llamafactory |
0.8.3 |
Easy-to-use LLM fine-tuning framework |
2024-08-30 08:01:53 |
| rpaframework-litellm |
0.1.2 |
LiteLLM library for RPA Framework |
2024-08-30 02:41:09 |
| hackingBuddyGPT |
0.3.1 |
Helping Ethical Hackers use LLMs in 50 lines of code |
2024-08-29 12:35:41 |
| longchain |
0.4.1 |
A framework for LLM-powered interactions |
2024-08-26 16:28:18 |
| bigdl-core-npu |
2.5.0 |
Intel® NPU Acceleration Library |
2024-08-22 09:26:47 |
| rqle-ai-langchain-util |
0.3.3 |
Library facilitating the integration of different LLM providers in LangChain (e.g. `ollama`, `Google Gemini`, etc). |
2024-08-21 19:05:27 |
| hyperprompts |
0.1.0 |
A lightweight prompt template system for LLM-based projects |
2024-08-20 04:35:51 |
| auto-code-review-package |
0.0.2 |
A package to conduct automated code reviews for Gitlab CICD |
2024-08-19 21:53:16 |
| ccontext |
0.3.2 |
collect-context: Makes the process of collecting and sending context to an LLM like ChatGPT-4o as easy as possible. |
2024-08-19 11:15:56 |
| kheopsai |
0.0.3 |
KHEOPS Official AI Packages |
2024-08-19 10:15:07 |
| NLPurify |
0.0.1.dev2 |
Text cleaning and feature extractions using NLP, Traditional approach. |
2024-08-18 15:26:57 |
| gmail_digest |
1.4.2 |
A tool to generate a daily digest of your Gmail inbox. Helpful if you have agents working on your behalf. |
2024-08-17 16:18:54 |
| freeGPTFix |
1.3.0 |
freeGPT provides free access to text and image generation models. |
2024-08-17 13:01:08 |
| airunner-nexus |
1.5.3 |
Run a socket server for AI models. |
2024-08-17 09:28:47 |
| ktransformers |
0.1.2 |
KTransformers, pronounced as Quick Transformers, is designed to enhance your Transformers experience with advanced kernel optimizations and placement/parallelism strategies. |
2024-08-16 02:30:07 |
| backprompt |
0.1.1 |
AI Integration, Simplified. Tailor LLM outputs to your exact needs, no datasets or finetuning required. |
2024-08-15 21:50:25 |
| lavague-core |
0.2.34 |
automation code generation from text instructions |
2024-08-15 18:46:12 |