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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

albumentations_examples

Augmentations usage examples for albumentations library

alfred

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

anchor_computation_tool

anchor_computation_tool-1

This repo primarily targets to help those who needs to compute anchors to customer dataset in object detection.

andrew-ng-meachine-learning

coursera中Andrew Ng的meachine learning的所有编程测验的原文件

approaching_almost_nlp

Approaching (Almost) Any Natural Language Processing Problem

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

automl

Google Brain AutoML

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cocoapi

COCO API - Dataset @ http://cocodataset.org/

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearningexamples

Deep Learning Examples

detr

End-to-End Object Detection with Transformers

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ecosystem

Integration of TensorFlow with other open-source frameworks

efficientdet_anchor_free

EfficientDet_anchor_free

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

how-to-optimize-gemm

imgaug

Image augmentation for machine learning experiments.

machine-learning-homework

Matlab Coding homework for Machine Learning

maxl

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mil-nature-medicine-2019