Stars
A collection of shared memory containers for high performance server
C++ transcripts of the Caffe2 Python tutorials and other C++ example code
Visualizer for neural network, deep learning and machine learning models
A public Collection of Alfred Workflows.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
A curated list of MXNet examples, tutorials and blogs.
A clear, concise, simple yet powerful and efficient API for deep learning.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).
Resources, datasets, papers on Question Answering
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Deep Reinforcement Learning with pytorch & visdom
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Sequence to Sequence Models with PyTorch