liygcheng Goto Github PK
Name: liygcheng
Type: User
Company: ZJU
Name: liygcheng
Type: User
Company: ZJU
Blazingly Fast Approximation of Otsu's Multi-threshold Method
Open software engineering platform and fun adventure game
Protocol Buffers - Google's data interchange format
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
Pseudo-3D Convolutional Residual Networks for Video Representation Learning
Extract TVL1 optical flows in python (multi-process && multi-server)
Fast, accurate and easy to run dense optical flow with python wrapper
Graph Convolutional Networks in PyTorch
PyMC: Bayesian Stochastic Modelling in Python (DEPRECATED: for PyMC3: https://github.com/pymc-devs/pymc3)
Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
For paper "Intrinsic Image Transformation Via Scale Space Decomposition"
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 200+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .
Official Python client library for kubernetes
Python入门网络爬虫之精华版
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch implementation of convolutional neural network visualization techniques
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch implementation of Deformable Convolution
PyTorch implementations of Generative Adversarial Networks.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
PyTorch on Kubernetes
An LSTM-based implementation of sequence to sequence learning, in PyTorch.
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
Load pretrained word embeddings (word2vec, glove format) into torch.FloatTensor for PyTorch
Geometric Deep Learning Extension Library for PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
This repository host the code for real-time action detection paper
TRT for WSOL
Fast and accurate object detection with end-to-end GPU optimization
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.