newebug

node-analyzer

基于 IKAnalyzer 字典分词器的 node.js 实现

AI-blog

Accompanying repository for Let's make a DQN / A3C series.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

char-models

Character level models for sentiment analysis

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

CoordConv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dogs_vs_cats

Dynamic-Memory-Networks-in-TensorFlow

Dynamic Memory Network implementation in TensorFlow

k_CommonLit-Readability-Prize

kaggle

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

Learning-To-Learn

TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

Meta-Learning-via-Feature-Label-Memory-Network

This is a code for URP research project I have been doing for 6 months (Jan - July 2017). The project title was "Developing new mechanisms to Neural Turing Machines (NTMs) for one-shot learning".

Meta-RL

Implementation of Meta-RL A3C algorithm

Neural-Turing-Machine

ntm

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)

NTM-Keras

An attempt at replicating "Neural Turing Machines" in Keras.

NTM-tensorflow

"Neural Turing Machine" in Tensorflow

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

rl-course-experiments

ssd_keras

Port of Single Shot MultiBox Detector to Keras

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

synaptic

architecture-free neural network library for node.js and the browser

tensorflow-value-iteration-networks

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tensorforce

TensorForce: A TensorFlow library for applied reinforcement learning

yolo-9000

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

zero-shot-gcn

Zero-Shot Learning with GCN (CVPR 2018)