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convnet

Convolutional Neural Networks for Matlab. Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

convolution-visualizer

Convolution visualizations

courses

fast.ai Courses

cs231a_project

Tracking Learning Detection Project

cvat

Powerful and efficient Computer Vision Annotion Tool (CVAT)

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

dashboard

net evaluation: number of parameters, operations, etc

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.

dcgan

Implementation of Deep Convolutional Generative Adversarial Networks on MNIST database in Keras

ddsp

DDSP: Differentiable Digital Signal Processing

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-photo-styletransfer-tf

Tensorflow (Python API) implementation of Deep Photo Style Transfer

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deepbootcamp

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

deeplearningimplementations

Implementation of some deep learning models

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeprlhacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dilation

Dilated Convolution for Semantic Image Segmentation

distributed-space-time-coding-with-imperfect-synchronization

Distributed Space-Time Coding with Imperfect Synchronization

dockerfiles

draw_convnet

dsb2017

dsb2017-1

The solution of team 'grt123' in DSB2017

dsb2018