lifeissosolong,github

a-eval

A-Eval is a benchmark designed to evaluate Chat LLMs of various scales from a practical application perspective. The dataset includes 678 question-and-answer pairs spanning 5 categories, 27 sub-categories, and 3 difficulty levels. A-Eval offers clear empirical and engineering guidelines for choosing the "best" model for real-world applications.

awesome-crowd-counting

Awesome Crowd Counting

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。