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My learning notes/codes for ML SYS.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A simple network quantization demo using pytorch from scratch.
A latent text-to-image diffusion model
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问:http://blinkfox.com
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
A curated list of neural network pruning resources.
🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Keras code and weights files for popular deep learning models.
Solving the Cocktail Party Problem using ICA