Tracyummy

project-based-learning

Curated list of project-based tutorials

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

kkndme_tianya

天涯 kkndme 神贴聊房价

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

cmake-examples

Useful CMake Examples

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

FastSAM

Fast Segment Anything

awesome-NeRF

A curated list of awesome neural radiance fields papers

QuantLib

The QuantLib C++ library

a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

QuantsPlaybook

量化研究-券商金工研报复现

T-Rex

[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

docker-pytorch

A Docker image for PyTorch

ZegCLIP

Official implement of CVPR2023 ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

ZegFormer

Official code for "Decoupling Zero-Shot Semantic Segmentation"

SEARLE

[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion

wseg

[CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

Count-Anything

This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point or box annotation.

Zero-shot-RIS

[CVPR 2023] Official code for "Zero-shot Referring Image Segmentation with Global-Local Context Features"

CLIP-Count

[ACM MM23] CLIP-Count: Towards Text-Guided Zero-Shot Object Counting

PseCo

(CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting

CrowdCLIP

[CVPR 2023] CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

DENet

This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).

CounTX

Includes FSC-147-D and the code for training and testing the CounTX model from the paper Open-world Text-specified Object Counting.

ICACount

[ICCV23] Official Pytorch Implementation of Interactive Class-Agnostic Object Counting

CDPCL