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data-analysis

Data Science Using Python

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-validation

Library for exploring and validating machine learning data

data_mining_in_action_2017

deep-learning-for-biology-hse-2018-course

Deep Learning for Biology course materials / Higher School of Economics, 2018

deep-learning-for-biology-hse-2019-course

Deep Learning for Biology course materials / Higher School of Economics, 2019

deep-learning-v2-pytorch

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

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

deepalignmentnetwork

A deep neural network for face alignment

deeplearning-models

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

deeplearningexamples

Deep Learning Examples

deepmask

Torch implementation of DeepMask and SharpMask

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

densenet-tensorflow

A clean densenet in tensorflow

dependency-check-sonar-plugin

Integrates Dependency-Check reports into SonarQube

detectron

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

detectron-cascade-rcnn

Cascade R-CNN in Detectron

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

digital-signal-processing-lecture

Digital Signal Processing - Theory and Computational Examples

dl_pytorch

Code for the Deep Learning with PyTorch lesson

dlib

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

dlib-models

Trained model files for dlib example programs.

dlinputs

Input pipelines for large scale, sharded training of deep learning models.

dliss-tutorial

Tutorial for International Summer School on Deep Learning, 2019

dlmodels

Size inference and pipeline notation for PyTorch models.

dlpython_course

Примеры для курса "Программирование глубоких нейронных сетей на Python"

dnp

Audio Denoising with Deep Network Priors

docs

TensorFlow documentation