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面向寒武纪加速卡MLU270-F4的多目标神经结构搜索方法(A Multi-Objective Neural Architecture Search Method for Cambricon Accelerator MLU270-F4)

个人博客网站

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Implement auroc metric on yolov5

A terminal for a more modern age

Curated list of project-based tutorials

Official Code for DragGAN (SIGGRAPH 2023)

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

An experimental open-source attempt to make GPT-4 fully autonomous.

A playbook for systematically maximizing the performance of deep learning models.

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

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Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

ncnn is a high-performance neural network inference framework optimized for the mobile platform

中文LLaMA&Alpaca大语言模型+本地CPU/GPU部署 (Chinese LLaMA & Alpaca LLMs)

Open deep learning compiler stack for Kendryte AI accelerator

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Paper Writing Tips

Matplotlib styles for scientific plotting

All Algorithms implemented in Java

Sandbox for training deep learning networks

A curated list of neural architecture search (NAS) resources.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

期刊管理系统(spring以及springmvc的模板)

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.