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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

deep-compressed-number-lines

Pytorch Implementation of experiments for the paper 'Constructing compressed number lines of latent variables using a cognitive model of memory and deep neural networks'

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

e599-high-performance-big-data

E599 high performance big data

gns-modeling

Generative Neuro-Symbolic (GNS) Modeling

gym

A toolkit for developing and comparing reinforcement learning algorithms.

indycar

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

one-neural-network-for-multiple-tasks

Contains code for a model that is trained once and is used for 4 different tasks successfully. Here we train a single model, which is used for captioning images, inferring images from a caption, finding similar words from a given word and finding similar images from given image.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sahaj09.github.io

sdedit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations