LiQianqian123's repositories
PaddleNLP
Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合
Mengzi-BERT-base-fin
Mengzi Pretrained Models
UniverseNet
Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.
CenterNet2
Two-stage CenterNet
EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
Awesome_Underwater_Datasets
Pointers to large-scale underwater datasets and relevant resources.
copy-paste-aug
Copy-paste augmentation for segmentation and detection tasks
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
DetectoRS
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
X-Temporal
A general video understanding codebase from SenseTime X-Lab
ResNeSt
ResNeSt: Split-Attention Networks
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
mmdetection
Open MMLab Detection Toolbox and Benchmark
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
ResNeXt
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
CV_Project
the project for cv class
ActivityNet
This repository is intended to host tools and demos for ActivityNet
awesome-action-recognition
A curated list of action recognition and related area resources
hello-world
Just another repository
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
100-Days-Of-ML-Code
100 Days of ML Coding
NOAA-fish-finding
Intern project at Institude of Information Science, Academia Sinica
ava-dataset
The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring frequently.
NetDissect
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
VisCNN_CVPR_2016_Loc
A PyTorch implementation of paper "Learning Deep Features for Discriminative Localization"