Notebooks for learning deep learning

Representation learning on large graphs using stochastic graph convolutions.

Must-read papers on Recommender System.

Gradient boosting decision trees.

tensorflow实战练习，包括强化学习、推荐系统、nlp等

High Performance, Easy-to-use, and Scalable Machine Learning Package (C++, Python, R)

公众号机器学习荐货情报局所有代码

Experiments with Adam/AdamW/amsgrad

Non official project based on original /r/Deepfakes thread. Many thanks to him!

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Fully Convolutional Instance-aware Semantic Segmentation

Tensorflow implementation of DeepFM for CTR prediction.

Convert https://pjreddie.com/darknet/yolo/ into pytorch

A list of all named GANs!

TorchCV: a PyTorch vision library mimics ChainerCV

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Detectorch - detectron for PyTorch

PyTorch Implementation of StarGAN - CVPR 2018

YOLOv2 in PyTorch

OHEM support for Fast R-CNN

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

A PyTorch Implementation of Single Shot MultiBox Detector

🚘 Easiest implementation of fully convolutional networks

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

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

An open library of computer vision algorithms

Single Shot MultiBox Detector in TensorFlow