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University Of Pittsburgh
- 135 N Bellefield Ave # 707, Pittsburgh, PA 15213
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Natural language processing & computer vision models optimized for AWS
An Industrial Grade Federated Learning Framework
Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
BERT as language model, fork from https://github.com/google-research/bert
A collection of AWESOME things about domian adaptation
Place to upload links to TensorFlow wheels
Docker images to compile TensorFlow yourself.
Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.
Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Keras implementations of Generative Adversarial Networks.
TensorFlow code and pre-trained models for BERT
Awesome paper list with code about generative adversarial nets
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Summaries and notes on Deep Learning research papers
This code is to implement the IndRNN.
TensorFlow implementation of Independently Recurrent Neural Networks
Attention-based NMT with Coverage, Context Gate, and Reconstruction
Attention-based NMT with a coverage mechanism to indicate whether a source word is translated or not
mathsyouth / awesome-text-summarization
Forked from lipiji/App-DLA curated list of resources dedicated to text summarization
The source code for "An Actor Critic Algorithm for Structured Prediction"
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.