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GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
YOLOv10: Real-Time End-to-End Object Detection
《数学建模导论》教程,全网最全数学建模模型与算法教程系列,带你走进数学建模的大门!
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
[MICCAI 2023] Multi-View Vertebra Localization and Identification from CT Images
Code for BrepMFR: Enhancing machining feature recognition in B-rep models through deep learning and domain adaptation.
Lightweight Pythonic wrapper around pythonocc
AAGNet, for automatic machining feature recognition using a geometric Attributed Adjacency Graph (gAAG) representation that preserves topological, geometric, and extended attributes from neutral bo…
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
torch-optimizer -- collection of optimizers for Pytorch
Evolutionary multi-objective optimization platform
A Full Live-Scripted CAD Kernel in the Browser
A python parametric CAD scripting framework based on OCCT
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
研究生数学建模,华为杯数学建模,2021D题(数模之星),乳腺癌,机器学习,数据分析
TinyMaix is a tiny inference library for microcontrollers (TinyML).
BRepNet: A topological message passing system for solid models
⚡ A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is …
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
A system to flag anomalous source code expressions by learning typical expressions from training data