A model for style-specific music generation
A Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Scenarios, tutorials and demos for Autonomous Driving
Minimal and Clean Reinforcement Learning Examples
This tutorial gives readers a full understanding of seq2seq models and shows how to build a competitive seq2seq model from scratch.
This research aims at simply deploying CNN (Convolutional Neural Network) on mobile devices, with low complexity and high speed.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Mycroft Core, the Mycroft Artificial Intelligence platform.
Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves
SciPy is open-source software for mathematics, science, and engineering
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Simple and ready-to-use tutorials for TensorFlow
Visualizations for machine learning datasets
An open source C++ face recognition engine, which can run on CPU with no third-party dependence
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A hardware-accelerated deep learning library for the web.
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
pix2pix demo that learns from facial landmarks and translates this into a face
Arrow is a set of technologies that enable big-data systems to process and move data fast
Faster RCNN with PyTorch
Facebook AI Research Sequence-to-Sequence Toolkit
Deep learning gateway on Raspberry Pi
A platform to build deep learning models online
A recurrent unit that can run over 10 times faster than cuDNN LSTM without loss of accuracy to training RNNs as Fast as CNNs
A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage. It is mainly written in C++ but integrated with other languages such as Python and R.
A scalable, fault tolerant and low latency storage service optimized for append-only workloads.
A TensorFlow implementation of Capsule Networks
An open autonomous driving platform
A distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.
Deep learning driven jazz generation using Keras & Theano!