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datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

dataset-examples

Samples for users of the Yelp Academic Dataset

datasets

A collection of datasets ready to use with TensorFlow

dcgan

Deep Convolutional Generative Adversarial Networks based on TensorFlow / TensorLayer

dcgan_code

Deep Convolutional Generative Adversarial Networks

ddsp

DDSP: Differentiable Digital Signal Processing

decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

deep-dream

Deep Dream - Unconventional Neural Networks in Python and Tensorflow

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-audio-application-from-design-to-deployment

Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-ml-and-tensorflow

Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-cats

Deep learning with cats (^._.^)

deep-learning-world

:satellite: Organized Resources for Deep Learning Researchers and Developers

deep-person-reid

Deep learning person re-identification in PyTorch.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

deep_reinforcement_learning

Resources, papers, tutorials

deepfovea

Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearninglifesciences

Example code from the book "Deep Learning for the Life Sciences"

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

deepul

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.