Stars
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🐙 OctoPack: Instruction Tuning Code Large Language Models
Train transformer language models with reinforcement learning.
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
A high-throughput and memory-efficient inference and serving engine for LLMs
Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)
Accepted by Transactions on Machine Learning Research (TMLR)
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
A multi-programming language benchmark for LLMs
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Tutorials, examples, discussions, research proposals, and other resources related to fuzzing
The official GitHub page for the survey paper "A Survey of Large Language Models".
The official gpt4free repository | various collection of powerful language models | o3 mini and deepseek r1
A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or laws in the future
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
RUCAIBox / Awesome-KBQA
Forked from JBoRu/Awesome-KBQAPaper list of KBQA
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Implementation of popular deep learning networks with TensorRT network definition API
joint detection and semantic segmentation, based on ultralytics/yolov5,