deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
torchbearer: A model fitting library for PyTorch
A multi-model machine learning feature embedding database
The Implementation of FastSpeech based on pytorch.
Visual Question Answering in Pytorch
Temporary home for fastai v2 while it's being developed
Resources, datasets, papers on Question Answering
Kaggle datascience bowl 2017
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Use PyTorch to implement some classic frameworks
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy a...