FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Cur…

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake,…

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

The winning solutions for the SpaceNet 6 Challenge

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

graftr: an interactive shell to view and edit PyTorch checkpoints.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

Simple, online, and realtime tracking of multiple objects in a video sequence.

Simple script that notifies you when Kaggle kernel submission completes using Telegram

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

A cluster computing framework for processing large-scale geospatial data

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Train and run Pytorch models on Apache Spark.

The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/abs/2003.05176

A simple tool to add mosaic effect to images

FastAPI framework, high performance, easy to learn, fast to code, ready for production

2nd place solution for Xview2 challenge https://xview2.org/

Solution for OpenAI Gym Taxi-v2 and Taxi-v3 using Sarsa Max and Expectation Sarsa + hyperparameter tuning with HyperOpt

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

A flexible, high-performance 3D simulator for Embodied AI research.

🐍 Geometric Computer Vision Library for Spatial AI

Implementation an RNN time-embedding layer from "Time-Dependent Representation for Neural Event Sequence Prediction" paper