星纬's repositories
Paddle2ONNX
ONNX Model Exporter for PaddlePaddle
awesome-machine-learning-in-compilers
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Smart_Construction
Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Student-resources
本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
spconv
Spatial Sparse Convolution in PyTorch
coot-videotext
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
tutorials
Tutorials for creating and using ONNX models
SimpleCVReproduction
Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
recommenders
Best Practices on Recommendation Systems
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone
YOLO ModelCompression MultidatasetTraining
nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
bert
TensorFlow code and pre-trained models for BERT
Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
FaceImageQuality
Code and information for face image quality assessment with SER-FIQ
awesome-ncnn
😎 A Collection of Awesome NCNN-based Projects
AoE
AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。
Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing）
PINTO_model_zoo
A repository that shares tuning results of trained models generated by Tensorflow. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. OpenVINO.
SYSZUXface
DeepVAC-FACE test dataset.
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories