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A generative speech model for daily dialogue.

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Official Pytorch Implementation of SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024)

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YOLOv10: Real-Time End-to-End Object Detection

A latent text-to-image diffusion model

ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

End-to-End Object Detection with Transformers

Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型，支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

[ECCV 2024] official code for "Long-CLIP: Unlocking the Long-Text Capability of CLIP"

An open source implementation of CLIP.

Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

量化投资回测框架 backtest，stock, option, future，factor investing, portfiolio analyis

用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)

A family of lightweight multimodal models.

LAVIS - A One-stop Library for Language-Vision Intelligence

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection