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An iterative multi-LLM consensus framework for accurate cell type annotation in single-cell RNA-seq data
The official code of AAAI 2024: RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.
The official code of CVPR 2024: VRetouchEr: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
Helpful tools and examples for working with flex-attention
This is the official code of AAAI 2025: RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting.
A Windows desktop tool to adjust the brightness of multiple monitors with ease
Google AI 2018 BERT pytorch implementation
PyTorch implementation for the paper Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting (CVPR2024).
Multi-platform auto-proxy client, supporting Sing-box, X-ray, TUIC, Hysteria, Reality, Trojan, SSH etc. It’s an open-source, secure and ad-free.
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
kingbri1 / flash-attention
Forked from Dao-AILab/flash-attentionFast and memory-efficient exact attention
An implementation of Performer, a linear attention-based transformer, in Pytorch
Fast and memory-efficient exact attention
李白 👤 作为唐代杰出诗人，其诗歌作品在中国文学史上具有重要地位。近年来，随着数字技术和人工智能的快速发展，传统文化普及推广的形式也面临着创新与变革。国内外对于李白诗歌的研究虽已相当深入，但在数字化、智能化普及方面仍存在不足。因此，本项目旨在通过构建李白知识图谱，结合大模型训练出专业的AI智能体，以生成式对话应用的形式，推动李白文化的普及与推广。
Simple implementation of OpenAI CLIP model in PyTorch.