applefishsky009

applefishsky009's Stars

• JiaquanYe/MASTER-mmocr

  Re-implementation of MASTER by mmocr

  Language:Python9018

• The-Run-Philosophy-Organization/run

  润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

  31.6k2.6k

• li-plus/DSNet

  DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

  Language:Python20750

• DengBoCong/nlp-paper

  自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

  Language:Python1.2k185

• byronhe/cppjieba

  "结巴"中文分词的C++版本，使用 darts Double Array Trie 降低内存占用到 1/100

  Language:C++459

• yanyiwu/cppjieba

  "结巴"中文分词的C++版本

  Language:C++2.6k691

• pyannote/pyannote-audio

  Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

  Language:Jupyter Notebook6.1k763

• PaddlePaddle/PaddleVideo

  Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

  Language:Python1.5k376

• bytedance/music_source_separation

  Language:Python1.3k194

• yeyupiaoling/VoiceprintRecognition-Pytorch

  This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

  Language:Python769121

• weiaicunzai/Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

  experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

  Language:Python714123

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.9k4.7k

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.2k1.2k

• weiaicunzai/awesome-image-classification

  A curated list of deep learning image classification papers and codes

  2.8k597

• CSAILVision/places365

  The Places365-CNNs for Scene Classification

  Language:Python1.9k535

• sallymmx/ActionCLIP

  This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

  Language:Python50559

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.9k2.5k

• JingweiJ/ActionGenome

  A video database bridging human actions and human-object relationships

  Language:Python12717

• jayleicn/ClipBERT

  [CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

  Language:Python70085

• Megvii-BaseDetection/YOLOX

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

  Language:Python9.4k2.2k

• KaimingHe/deep-residual-networks

  Deep Residual Learning for Image Recognition

  6.4k2.2k

• peteanderson80/bottom-up-attention

  Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

  Language:Jupyter Notebook1.4k379

• pzzhang/VinVL

  project page for VinVL

  35025

• yiyibooks/nlp_machine_learning_papers

  NLP 和机器学习论文中文翻译

  13218

• microsoft/IoT-For-Beginners

  12 Weeks, 24 Lessons, IoT for All!

  Language:C++15.3k2.4k

• microsoft/Web-Dev-For-Beginners

  24 Lessons, 12 Weeks, Get Started as a Web Developer

  Language:JavaScript83.3k12.3k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.5k14.4k

• LiuXiaolong19920720/simple_net

  A simple deep neural network implemented in C++，based with OpenCV Mat matrix class

  Language:C++311128

• wangshusen/DeepLearning

  Language:TeX3.7k824

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.7k