robot520

Awesome-PyTorch-Chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

keras

Deep Learning for humans

Multi_Imbalance

Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

AiLearning

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

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

Awesome-Incremental-Learning

Awesome Incremental Learning

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Class-Imbalance

Cost-Sensitive Learning / Resampling / SMOTE etc.

deep-learning-for-image-processing

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

deep-learning-for-object-detection-yolov2

Code Files for "Deep Learning for Object Detection" video series

Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deep_learning_object_detection

A paper list of object detection using deep learning.

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Matlab-GAN

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Multitask-Learning

多任务学习相关资料，论文，代码

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ObjectDetectionImbalance

Lists the papers related to imbalance problems in object detection

sal_eval_toolbox

evaluation toolbox for salient object detection

sampling-free

Is sampling heuristics necessary in training deep object detectors? Try this sampling-free object detectors! See our technical report :)

smote_variants

A collection of 85 minority oversampling techniques for imbalanced learning with multi-class oversampling and model selection features

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

VisionLearningGroup.github.io