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dl-rnn

Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM

dl-seq2seq

Implementation of papers on Deep Seq2seq learning using Pytorch.

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

dl-visualization

This is the source code for the series "Visualizing Deep Learning"

dl4mt-c2c

dl4mt-cdec

dl4mt-multi

dl4mt-tutorial

dl_bounds

dl_spectral_normalization

dlbench

Benchmarking State-of-the-Art Deep Learning Software Tools

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dll

Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

dlmodels

Size inference and pipeline notation for PyTorch models.

dlrm

An implementation of a deep learning recommendation model (DLRM)

dltk

Deep Learning Toolkit for Medical Image Analysis

dm-haiku

JAX-based neural network library

dm_control

The DeepMind Control Suite and Control Package

dmcp

dme

Dynamic Meta-Embeddings for Improved Sentence Representations

dmfn

Image Fine-grained Inpainting

dmgnn

The implementation of DMGNN

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

dni-pytorch

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

dni-synthetic-gradients

Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.

dni_torch

DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch

dnnc-few-shot-intent

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

do-you-even-need-attention

docs

Documentation for the OpenMined Ecosystem of Libraries

dominion-ai

AI Player for Dominion created by Monisha White and Nolan Walsh as a Final Project for CS221 at Stanford