WMY4AI's Stars
facebookresearch/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.
facebookresearch/detr
End-to-End Object Detection with Transformers
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
pjimming/rlock
A distributed lock base on redis achieved by Golang.
Wuziyi616/Graduate_Application
Documents used for grad school application
LeMei/UniMSE
ControlNet/emolysis
Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit
Xeaver/EmotionCLIP
[CVPR 2023] Code for "Learning Emotion Representations from Verbal and Nonverbal Communication"
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
zjhellofss/KuiperInfer
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
extreme-assistant/AI-job-interview
AI算法岗面试经验汇总
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
zixian2021/AI-interview-cards
最完整的AI算法面试题目仓库,1000道,25个类目
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
yifeikong/reverse-interview-zh
技术面试最后反问面试官的话
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
DingXiaoH/RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
SYLan2019/Skip-Attention-GAN
This repository contains PyTorch implementation of the following paper: SAGAN: SKIP-ATTENTION GAN FOR ANOMALY DETECTION.
mli/paper-reading
深度学习经典、新论文逐段精读
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
wangzheng0822/algo
数据结构和算法必知必会的50个代码实现
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding