#
yanzhicong
Follow
Starred repositories
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Question and Answer based on Anything.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
a language for fast, portable data-parallel computation
[ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (https://proceedings.mlr.press/v202/dai23a)"
Training & Inference Code of PRNet in PyTorch 1.1.0
Face landmarks(fiducial points) detection benchmark
ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks
🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
[AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
A collection of resources and papers on Diffusion Models
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Pytorch implementation of various Knowledge Distillation (KD) methods.
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
Perform data science on data that remains in someone else's server
An Industrial Grade Federated Learning Framework
Reproduction of "Generative Modeling by Estimating Gradients of the Data Distribution" (NeurIPS, 2019) in Tensorflow 2.0
PyTorch implementation of consistency regularization methods for semi-supervised learning
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
A list of backdoor learning resources
PyTorch implementation of adversarial attacks [torchattacks]
Generalized Data-free Universal Adversarial Perturbations