Labelling NBA action using deep learning
A server-based application for browsing, organizing and sharing your personal photo collection, powered by Go and Google TensorFlow.
A simpler way of reading data into TensorFlow
PDF Table Extraction for Humans
Dynamic Meta-Embeddings for Improved Sentence Representations
Hierarchical Deep Learning for Text Classification
PyTorch NEAT builds upon NEAT-Python by providing some functions which can turn a NEAT-Python genome into either a recurrent PyTorch network or a PyTorch CPPN for use in HyperNEAT or Adaptive HyperNEAT.
This repository contains PyTorch implementations of “Show and Tell: A Neural Image Caption Generator” and “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”.
Random Multi-model Deep Learning for Classification
Decoders for fault tolerant quantum computation via deepQ reinforcement learning
Motion imitation with deep reinforcement learning. The framework uses reinforcement learning to train a simulated humanoid to imitate a variety of motion skills from mocap data.
The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
A library built on top of TensorFlow that exposes several useful building blocks for implementing Reinforcement Learning agents.
The Apache Kafka Client SDK
A library that provides an storage abstraction and client-coordinated distributed transaction on top of Cassandra