zhengchu1994 Goto Github PK

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

betterknow

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

gitalk

Gitalk for blog comments.

handwriting

Personal notes on books I've read before.

models

Models and examples built with TensorFlow

numpy-ml

Machine learning, in numpy

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

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 ;)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rugcn

Implementation of the paper "Leveraging Explicit Unsupervised Information for Robust Graph Convolutional Neural Network Learning".

sparkctr

CTR prediction model based on spark(LR, GBDT, DNN)

sparkinternals

Notes talking about the design and implementation of Apache Spark

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

the-algorithm

Source code for Twitter's Recommendation Algorithm

tradaboost

Transfer learning algorithm TrAdaboost,coded by python

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

zhengchu1994.github.io