Unofficial implementation of Pix2SEQ

Leveraging features of small objects from their large counterparts.

Popular few-shot learning repos nested in one place

few-shot segmentation

Open Source Neural Machine Translation in PyTorch

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

Mainly for SSD; changed some tiny things to adapt in my codebase

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

Super awesome

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

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

Collection of generative models in Pytorch version.

Minimal and clean examples of machine learning algorithms

YOLOv2 in PyTorch

Faster RCNN with PyTorch

A toolkit for developing and comparing reinforcement learning algorithms.

Deformable Convolutional Networks

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

FastER RCNN built on tensorflow

Convolutional Neural Networks

Hierarchical Object Detection with Deep Reinforcement Learning