Stars
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Implementations, Pre-training Code and Datasets of Large Time-Series Models
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Unified Training of Universal Time Series Forecasting Transformers
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、AI Agent、机器学习、计算机视觉、自然语言处理、强化学习、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.
High-Resolution Image Synthesis with Latent Diffusion Models
视频号、小程序、抖音、快手、小红书、直播流、m3u8、酷狗、QQ音乐等常见网络资源下载!
A scikit-learn compatible neural network library that wraps PyTorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
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.
Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
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