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simple python interface to SMAC.
Integration between Spark and Caffe via Python interfaces
Approximate Nearest Neighbor Search for Sparse Data in Python!
A natural language modeling framework based on PyTorch
Python implementation of TextRank for text document NLP parsing and summarization
A software suite for Visual Question Answering
Python wrapper for Yossi Rubner's implementation of the earth mover's distance (EMD)
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
If you want to use Python for text analysis, this course is for you!
Html Content / Article Extractor, web scrapping lib in Python
Python integration for Gradientzoo - version and share your trained neural network model weights
Python Data Science Handbook: full text in Jupyter Notebooks
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
A flexible pytorch template for Natural Language Processing based on Bert.
Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.
Software used for generating embeddings from large-scale graph-structured data.
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
PyTorch implementation of the CortexNet predictive model
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Minicourse in Deep Learning with PyTorch
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
A CV Toolkit
Evolutionary Strategies for PyTorch
Simple examples to introduce PyTorch
My implementation of the original GAT paper (Veličković et al.). Jupyter Notebook coming soon and an inductive example as well. I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings and attention mechanism.
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.