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Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️、Vue 生态搭建前端🍍、FastAPI 搭…
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translation. And a video editing benchmark code.
Implementation of UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks
Awesome-LLM: a curated list of Large Language Model
a state-of-the-art-level open visual language model | 多模态预训练模型
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
GPT4V-level open-source multi-modal model based on Llama3-8B
llama3 implementation one matrix multiplication at a time
6D - Pose Annotation Tool (6D-PAT) - is a tool that allows the user to load a set of images and also a set of 3D models and annotate where in the 2D image the 3D object ist placed.
Monocular Depth Estimation Toolbox based on MMSegmentation.
[TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
On Efficient Transformer-Based Image Pre-training for Low-Level Vision
⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Plenoxels: Radiance Fields without Neural Networks
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch