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Type: User
Bio: 生有涯而知无涯 # 提升认知去看更为复杂的世界
Type: User
Bio: 生有涯而知无涯 # 提升认知去看更为复杂的世界
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
This is now the official location of the Merlin project.
This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Torch implementation of neural style algorithm
Neighborhood Graph and Tree for Indexing High-dimensional Data
中文汉字识别!
Extremely simple implement for CRNN by Tensorflow
Face recognition with deep neural networks.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Examples for the usage of "pybind11"
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
PyStan, the Python interface to Stan
All Algorithms implemented in Python
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
PyTorch Tutorial for Deep Learning Researchers
A python implementation of the Rapid Automatic Keyword Extraction
A list of papers on Semantic Segmentation.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
Hierarchical classification module based on scikit-learn's interfaces
Solving the Traveling Salesman Problem using Self-Organizing Maps
TensorFlow-based neural network library
Deep recommender models using PyTorch.
about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码,快速简单上手教程。
StackNet is a computational, scalable and analytical Meta modelling framework
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Module for automatic summarization of text documents and HTML pages.
Algorithms and data structures in Swift, with explanations!
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.