Sirwenhao

Sirwenhao's Stars

• Caiyun-AI/DCFormer

  Language:Python18715

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python7k1.2k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.9k1.6k

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python8k1.5k

• MhLiao/DB

  A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

  Language:Python2.1k480

• meijieru/crnn.pytorch

  Convolutional recurrent network in pytorch

  Language:Python2.4k657

• Belval/TextRecognitionDataGenerator

  A synthetic data generator for text recognition

  Language:Python3.4k988

• krahets/LeetCode-Book

  《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓

  Language:Java6.7k789

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.9k8.7k

• rasbt/python-machine-learning-book-2nd-edition

  The "Python Machine Learning (2nd edition)" book code repository and info resource

  Language:Jupyter Notebook7.1k2.8k

• blackmatrix7/ios_rule_script

  分流规则、重写写规则及脚本。

  Language:JavaScript19.3k3.1k

• Netflix/vmaf

  Perceptual video quality assessment based on multi-method fusion.

  Language:Python4.7k757

• icandle/MAN

  Multi-scale Attention Network for Single Image Super-Resolution (CVPRW 2024)

  Language:Python1409

• ARM-software/sesr

  Super-Efficient Super Resolution

  Language:Python9115

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.8k1.9k

• alterzero/STARnet

  Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch

  Language:Python18327

• LoSealL/VideoSuperResolution

  A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

  Language:Python1.6k298

• idealo/image-super-resolution

  🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

  Language:Python4.7k773

• jasmcaus/opencv-course

  Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

  Language:Python1.1k967

• v-iashin/video_features

  Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

  Language:Python55397

• Bjarten/early-stopping-pytorch

  Early stopping for PyTorch

  Language:Jupyter Notebook1.2k293

• pcottle/learnGitBranching

  An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!

  Language:JavaScript30.9k5.8k

• zetane/viewer

  ML models and internal tensors 3D visualizer

  Language:Python1.3k133

• ryanxingql/stdf-pytorch

  Implementation of "Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement" (AAAI'20).

  Language:Python16121

• JushuangQiao/Python-Offer

  《剑指Offer》面试题Python实现

  Language:Python2.2k597

• guodongxiaren/README

  README文件语法解读，即Github Flavored Markdown语法介绍

  6.9k7.2k

• datawhalechina/thorough-pytorch

  PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

  Language:Jupyter Notebook2.7k428

• Sirwenhao/Python-Image-Processing-Tutorial-for-Beginners

  Hands-On Image Processing with Python by Sandipan Dey

  Language:Python3

• Fafa-DL/Lhy_Machine_Learning

  李宏毅2021/2022/2023春季机器学习课程课件及作业

  Language:Jupyter Notebook6.3k1.6k

• jcjohnson/neural-style

  Torch implementation of neural style algorithm

  Language:Lua18.3k2.7k