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Starred repositories
Visualize the low-level outputs of YOLOv8 to analyze and understand the areas where our model focuses. Specifically, illustrate which anchor points are activated to predict bounding boxes.
GUI for marking bounded boxes of objects in images for training neural network YOLO
verl: Volcano Engine Reinforcement Learning for LLMs
xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
LLMem: GPU Memory Estimation for Fine-Tuning Pre-Trained LLMs
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! 🦥
An elegent pytorch implement of transformers
从0到1构建一个MiniLLM (pretrain+sft+dpo实践中)
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
The Modular Platform (includes MAX & Mojo) 8000
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
A Datacenter Scale Distributed Inference Serving Framework
Easy-to-use, high-performance, multi-platform inference deployment framework
Colab script collection for various amazing projects! 各种牛逼项目的Colab脚本集合！
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA/Tensor Cores Kernels, HGEMM, FA-2 MMA etc.🔥
Wan: Open and Advanced Large-Scale Video Generative Models
A common bricks library for building scalable and portable distributed machine learning.
关于Transformer模型的最简洁pytorch实现，包含详细注释
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Implementation of all RAG techniques in a simpler way
Polygon Clipping and Offsetting - C++, C# and Delphi
Boolean polygon clipping/overlay operations (union, intersection, difference, xor) on Polygon and MultiPolygon geometry.