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OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
Tutorial demonstrating pipeline-oriented approach in data analytics
Image-to-image translation with conditional adversarial nets
Repository for the paper "Planning to Explore via Self-Supervised World Models"
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
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 ;)
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
A collection of Python demos for geostatistical methods.
Fine tuning runner for BERT with pytorch
PyTorch implementation of the CortexNet predictive model
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
A very simple generative adversarial network (GAN) in PyTorch
A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
An open source framework for seq2seq models in PyTorch.
[WIP] a high-level PyTorch helper package
RAD: Reinforcement Learning with Augmented Data
Python Implementation of Reinforcement Learning: An Introduction
Code repository for my course on the fundamentals of reinforcement learning
Collection of reinforcement learning algorithms
Recurrent Neural Networks with External Memory
Script to copy an AWS S3 Bucket to another bucket using many threads in Python
Implementation of Soft Actor Critic
A library for training and deploying machine learning models on Amazon SageMaker
Pseudo-code in LaTeX for common proxy-label approaches for semi-supervised learning
Tutorial on deploying Deep learning on SageMaker
Sequence to Sequence Learning with Keras
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.