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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Minimal and clean examples of machine learning algorithms implementations
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…
Efficiently computes derivatives of NumPy code.
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
A flexible framework of neural networks for deep learning
Learning to Learn in TensorFlow
Minimal and Clean Reinforcement Learning Examples
Implementation of recent Deep Learning papers
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
A neural network trained to help writing neural network code using autocomplete
Functional language with intensional polymorphism and first-class staging.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Proposed compiler and language changes for GHC and GHC/Haskell
Advanced Physics Engines 2020: A Hands-on Tutorial
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Tensorlang, a differentiable programming language based on TensorFlow
MONeT framework for reducing memory consumption of DNN training
Learning to Auto-Complete using RNN Language Models
Most influential papers in programming languages
Solving the TerpreT problem (Gaunt et al. 2016), in particular the parity chain problem