gramerules Goto Github PK

aaai18-code

The code of AAAI18 paper "Learning Structured Representation for Text Classification via Reinforcement Learning".

aaai2020-rfmetafas

Pytorch codes for Regularized Fine-grained Meta Face Anti-spoofing in AAAI 2020

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

better-exceptions

Pretty and useful exceptions in Python, automatically.

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

crslab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

daisyrec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

deepfuzz

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

esam

Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

graph-wavenet

graph wavenet

introrl

Intro to Reinforcement Learning (强化学习纲要）

learn-statistical-learning-method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

microservices-demo

Deployment scripts & config for Sock Shop

mmdetection

OpenMMLab Detection Toolbox and Benchmark

modelszoo

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

recbole

A unified, comprehensive and efficient recommendation library