zhouzhou773,github

116837

Reward modulated STDP (Legenstein et al. 2008)

awesome-neural-adaptation-in-nlp

Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

bindsnet_experiments

Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.

capsule4textclassification

Sequence Encoding via Dynamic Routing for Text Classification

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

fly_superspike

Based on https://github.com/fzenke/pub2018superspike

lisnn

Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition."

lm-snn

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

n3ml

Neuromorphic Neural Network Machine Learning

pysnn

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).

reinforcement-learning-stanford

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

reinforcement_learning_tutorial_with_demo

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..

resume_snn

training SNN with Resume algorithm

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rm-stdp

Reward modulated Spike-Timing Dependent Plasticity

s4nn

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

senticnetapi

Simple API to use SenticNet

snns-in-tensorflow

Implementation of a Spiking Neural Network in Tensorflow.

spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

spytorch

Tutorial for surrogate gradient learning in spiking neural networks

superspike_tutorial

Following Friedemann Zenke's tutorial on training spiking networks with surrogate gradients from https://github.com/fzenke/spytorch

tensorflow-fcwta

Fully-connected winner-take-all autoencoder implemented in TensorFlow.

text-classification-surveys

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。

text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

torchneuromorphic

Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors

zhouzhou773 Goto Github PK

zhouzhou773's Projects

Recommend Projects

Recommend Topics

Recommend Org