A curated list of causal inference libraries, resources, and applications.

Participation of VICOROB in the DBT lesion segmentation challenge.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A simple code for plotting figure, colorbar, and cropping with python

Integration of IPython pdb

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

A simple pooling method for multiple instance learning based on attention and anomaly scores of instances.

A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray

Lightweight data stream processing engine for IoT edge

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

C++那些事

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

A tool that automatically extracts network structures from Tensorflow model files

extract denseflow from video.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

OpenMMLab Detection Toolbox and Benchmark

TensorFlow 中文教程 (Chinese Tutorials)

COVID-Net Open Source Initiative

《统计学习方法》的代码实现

Code for AAAI2020 paper "Fast Learning of Temporal Action Proposal via Dense Boundary Generator"

A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", which is accepted in ICCV 2019.

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …