Pinned Repositories
aerosolve
A machine learning package built for humans.
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
ATEN
awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
bnt
Bayes Net Toolbox for Matlab
caffe
Caffe: a fast open framework for deep learning.
fnlp
中文自然语言处理工具包 Toolkit for Chinese natural language processing
GAIN
Generative Adversarial Imputation Networks (GAIN)
jieba
结巴中文分词
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
softengers's Repositories
softengers/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
softengers/awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
softengers/bnt
Bayes Net Toolbox for Matlab
softengers/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
softengers/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
softengers/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
softengers/DeepRec
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
softengers/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
softengers/flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.
softengers/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
softengers/k3s
Lightweight Kubernetes. 5 less than k8s.
softengers/KB4Rec
This is the data for KB4Rec
softengers/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
softengers/lihang-code
《统计学习方法》的代码实现
softengers/madlib
Mirror of Apache MADlib
softengers/models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
softengers/models-2
Models and examples built with TensorFlow
softengers/neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
softengers/NeuRec
Next RecSys Library
softengers/nifi
Mirror of Apache NiFi
softengers/pgmpy
Python Library for Probabilistic Graphical Models
softengers/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
softengers/pvldb17code
softengers/recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
softengers/roadmap.sh
Community driven roadmaps, articles and resources for developers
softengers/SIGIR-11
softengers/taro
多端统一开发框架，支持用 React 的开发方式编写一次代码，生成能运行在微信/百度/支付宝/字节跳动/ QQ 小程序/快应用/H5/React Native 等的应用。 https://taro.jd.com/
softengers/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
softengers/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
softengers/vscode-code-runner
Code Runner for Visual Studio Code