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danpanwan's Projects

accel_pytorch

Accelerating tools for Pytorch (AMP, DDP ...)

aigc

《构筑大语言模型应用：应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书，介绍了大语言模型的基础知识和应用，以及如何构建自己的模型。其中包括Prompt的编写、开发和管理，探索最好的大语言模型能带来什么，以及LLM应用开发的模式和架构设计。

allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

awesome-aigc-tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

bazel_begin

A hello world project with gtest using bazel.

best_ai_papers_2021

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

blog

**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

book

Book PDF

cars

Pytorch code for paper: CARS: Continuous Evolution for Efficient Neural Architecture Search

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

code-server

VS Code in the browser

codeclass

「编程技术学习指南」学习路线+学习资源。从编程小白到架构师，所有你需要掌握的内容都在这里

deeplearning-500-questions

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepo

Set up deep learning environment in a single command line.

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

efficientnet-pytorch

A PyTorch implementation of EfficientNet

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

fastgithub

FastGithub backups

flamegraph

Stack trace visualizer

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gnnpapers

Must-read papers on graph neural networks (GNN)

googletest

GoogleTest - Google Testing and Mocking Framework

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