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Reward modulated STDP (Legenstein et al. 2008)
Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
Simulation of spiking neural networks (SNNs) using PyTorch.
Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
Sequence Encoding via Dynamic Routing for Text Classification
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
PyTorch implementations of deep reinforcement learning algorithms and environments
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Based on https://github.com/fzenke/pub2018superspike
The information of computer journal
Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition."
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
Neuromorphic Neural Network Machine Learning
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
training SNN with Resume algorithm
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Reward modulated Spike-Timing Dependent Plasticity
Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Journal of Neural Systems (2020), doi: 10.1142/S0129065720500276
Simple API to use SenticNet
Implementation of a Spiking Neural Network in Tensorflow.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Tutorial for surrogate gradient learning in spiking neural networks
Following Friedemann Zenke's tutorial on training spiking networks with surrogate gradients from https://github.com/fzenke/spytorch
Fully-connected winner-take-all autoencoder implemented in TensorFlow.
文本分类资源汇总,包括深度学习文本分类模型,如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等,浅层学习模型,如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集,如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD,评价指标,如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K,和技术挑战,包括多标签文本分类。
Graph Convolutional Networks for Text Classification. AAAI 2019
Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.