Bring background images to your vscode. vscode background 背景扩展插件。

Linear Cryptanalysis on SPN cipher

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction

网络流量预测

Bootstrap your own latent A new approach to self-supervised Learning.Thesis retrieval.对BYOL自监督的论文的简单实现

implement byol in cifar-10

Open source online judge based on Vue, Django and Docker. | 青岛大学开源 Online Judge | QQ群 496710125 | [email protected]

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

Reproduce MAML in Pytorch with omniglot dataset.

Very simple pytorch maml implement

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Implementation of DANN with pytorch

Linear attack

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).

Hands-on Deep Reinforcement Learning, published by Packt

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Hummingbird compiles trained ML models into tensor computation for faster inference.

CyCTR implemented using pytorch

cuML - RAPIDS Machine Learning Library

This is the unofficially official implementation of the paper "Feature Weighting and Boosting for Few-Shot Segmentation"

PyTorch tutorials.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.