Stars
This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
STUMPY is a powerful and scalable Python library for modern time series analysis
List of tools & datasets for anomaly detection on time-series data.
🤘 awesome-semantic-segmentation
DeepLab v3+ model in PyTorch. Support different backbones.
A PyTorch implementation for Unsupervised Data Augmentation
Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
Differentiable architecture search for convolutional and recurrent networks
FractalNet: A fractal-based neural network architecture
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Pytorch implementation of convolutional neural network visualization techniques
Unsupervised single image depth prediction with CNNs
Pytorch version of SfmLearner from Tinghui Zhou et al.
Python-based optical flow toolkit for existing popular dataset
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Library for fast text representation and classification.
A curated list of action recognition and related area resources
TensorFlow Tutorials with YouTube Videos
PyTorch Tutorial for Deep Learning Researchers
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
TuShare is a utility for crawling historical data of China stocks
Tensors and Dynamic neural networks in Python with strong GPU acceleration