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awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

documentation

the next generation MegEngine Documentation

faiss_web_demo

A demo of Django Faiss search

fgam

Official code of FGAM

google_object_detection_api_a_sample

gpt-llm-trainer

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

hf-mirror-cli

hf-mirror-cli 使用国内镜像，无需配置开箱即用，快速下载hugingface上的模型

how-to-optim-algorithm-in-cuda

how to optimize some algorithm in cuda.

hpc-learning-notes

高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！

imed_vision

learnablepromptsam

Try to use the SAM-ViT as the backbone to create the learnable prompt for semantic segmentation

llama-dl

High-speed download of LLaMA, Facebook's 65B parameter GPT model

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

lvm-med

Release LMV-Med pre-trained models

medicalimage

An test of segmentation for the medical image

megcc

MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器

megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

megengine_cu11

MegEngine build with cu11x

megpeak

megvision

Some models implemented by megengine

paper-reading

深度学习经典、新论文逐段精读(李沐)

pytorch-image-models

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

recognize-anything

Code for the Recognize Anything Model (RAM) and Tag2Text Model

segment-anything

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.

so-vits-svc-5.0

Core Engine of Singing Voice Conversion & Singing Voice Clone

test