Implementation of "Hyperspherical Latents Improve Continuous-Token Autoregressive"

A PyTorch Platform for Distributed RL

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

Code for The Web Conf 2021 Paper-Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning.

An open source toolkit for neural architecture search, hyper-parameter optimization and optimizer design.

Prioritized Experience Replay (PER) implementation in PyTorch

Graph Convolutional Networks for Text Classification. AAAI 2019

Original Implementation of "Ranking Responses Oriented to Conversational Relevance in Chat-bots" COLING 2016

This code is for running enas on nni.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

A list of datasets/corpora for NLP tasks, in reverse chronological order.

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine le…

Distributed word embedding

LINE: Large-scale information network embedding

Parameter server framework for distributed machine learning

Models built with TensorFlow

A Package of Keyphrase Extraction and Social Tag Suggestion

C++ binding for 0MQ

Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Recurrent Neural Network - A curated list of resources dedicated to RNN

Task generation for testing text understanding and reasoning