Neural-Scene-Flow-Fields
zhengqili
모델 학습, 평가, 추론 프레임워크를 찾고 커뮤니티의 관심도를 비교하세요.
zhengqili
zhengyima
2019百度的关系抽取比赛,使用Pytorch实现苏神的模型,F1在dev集可达到0.75,联合关系抽取,Joint Relation Extraction.
zhgqcn
zhihu
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
zhijian-liu
Count the MACs / FLOPs of PyTorch models
zhilin007
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
ZhiningLiu1998
zhiqwang
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
ZhixiuYe
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
zhongkaifu

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
zhou13
LCNN: End-to-End Wireframe Parsing
machine learning course programming exercise
zhulf0804
zhunzhong07
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
zhusleep
pytorch中文语言模型预训练
zhuyu-cs
Pytorch implementation of MeanFlow on ImageNet and CIFAR10
Zielon
INSTA - Instant Volumetric Head Avatars [CVPR2023]
ZigRazor
Header-Only C++ Library for Graph Representation and Algorithms
zimingttkx
NIPS — Machine-Learning-Based Network Intrusion Prevention System | Kitsune/LUCID integrated | Online unsupervised anomaly detection | Kernel-level real-time traffic interception | FastAPI + CLI management
zisianw
A PyTorch Implementation of FaceBoxes
ZitongYu
🔥Deep Learning for Face Anti-Spoofing
ZjjConan
The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".
zju3dv
zjunlp