chenghuige Goto Github PK
Name: allen
Type: User
Bio: fan of nlp, vision, recommendation
Location: beijing
Name: allen
Type: User
Bio: fan of nlp, vision, recommendation
Location: beijing
8th place solution for SIIM-ACR Pneumothorax Segmentation competition on Kaggle
AllenNLP model for the Kaggle toxic comments challenge
Code for Kaggle Jigsaw Toxic Comment, 34th / 4551 (Top 1%) Solution
1st place solution
Winning solution for the Kaggle TGS Salt Identification Challenge.
Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)
Industry-strength Computer Vision workflows with Keras
Keras implementation of Deeplab v3+ with pretrained weights
Binary and multiclass loss functions implemented in Keras
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
"NASNet" models in Keras 2.0+ with weights
Keras package for region-based convolutional neural networks (RCNNs)
Keras implementation of RetinaNet object detection.
An awesome semantic segmentation model that runs in real time
Implementation of Squeeze and Excitation Networks in Keras
Implementation of Simple Recurrent Unit in Keras
Simple stochastic weight averaging callback for Keras
Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
General code to convert a trained keras model into an inference tensorflow model
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Experiments with satellite image data
Shared repository for open-sourced projects from the Google AI Language team.
Partitioning a large Embedding LUT into multiple devices. (for Pytorch)
Lattice methods in TensorFlow
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
Lime: Explaining the predictions of any machine learning classifier
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.