Pinned Repositories
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
git_it
use this to test git
ParallelismIsAllYouNeed
songhuiming.github.io
vimrc
The ultimate Vim configuration: vimrc
songhuiming's Repositories
songhuiming/ParallelismIsAllYouNeed
songhuiming/songhuiming.github.io
songhuiming/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
songhuiming/git_it
use this to test git
songhuiming/vimrc
The ultimate Vim configuration: vimrc
songhuiming/allstate
Kaggle's Allstate Purchase Prediction Challenge
songhuiming/Applied-Social-Network-Analysis-in-Python
Course - 5; Specialization: Applied Data Science with Python; University Of Michigan
songhuiming/courses
fast.ai Courses
songhuiming/CS231n
Working through CS231n: Convolutional Neural Networks for Visual Recognition
songhuiming/deepo
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
songhuiming/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
songhuiming/dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
songhuiming/dotfiles
:house_with_garden: dot files for me
songhuiming/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
songhuiming/faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
songhuiming/git_dockerfile
songhuiming/hyperopt-sklearn
Hyper-parameter optimization for sklearn
songhuiming/KDD-2019-Hands-on
DGL tutorial in KDD 2019
songhuiming/lda
Topic modeling with latent Dirichlet allocation using Gibbs sampling
songhuiming/LeetCode
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
songhuiming/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
songhuiming/pyensemble
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
songhuiming/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
songhuiming/pygcn
Graph Convolutional Networks in PyTorch
songhuiming/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
songhuiming/sagemaker-graph-fraud-detection
Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks
songhuiming/temp
temp files
songhuiming/tqdm
A Fast, Extensible Progress Bar for Python and CLI
songhuiming/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
songhuiming/workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker