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deep_learning_examples

Examples of using deep learning in Bioinformatics

deep_learning_for_computer_vision_with_python

Deep Learning For Computer Vision With Python

deep_learning_keras

Keras深度学习代码，一切大事必做于细！

deep_learning_object_detection

A paper list of object detection using deep learning.

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepnude_nowatermark_withmodel

DeepNude源码，去水印，带三个模型文件下载地址 (cm.lib, mm.lib, mn.lib), 附demo演示与使用说明，离线运行，下载即跑，基于GAN的一行命令给小姐姐"换"衣服。

deepnude_official

deeppavlov

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

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detnas

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dl-notes

dl-project-template

深度学习工程模板

dl_tutorials_10weeks

Deep Learning Tutorials for 10 Weeks

drkg

A knowledge graph and a set of tools for drug repurposing

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

eccv-2020-papers

ECCV 2020 论文分类盘点合集，已更新：谷歌在ECCV中的oral和spotlight文章

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

efficientnet-pytorch

A PyTorch implementation of EfficientNet

ensemble-machine-learning-cookbook

Ensemble Machine Learning Cookbook, published by Packt

ernie-text-classification-pytorch

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

essential-statistics-for-non-stem-data-analysts

Hands-On Statistics for Data Science, published by Packt

exp-anomaly-detector-aiops

Using DNN for univariate time series anomaly detection over AIOps Competition dataset

extending-google-bert-as-question-and-answering-model-and-chatbot

BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data, here we have used a specific approach of picking the data.

face_recognition

The world's simplest facial recognition api for Python and the command line

faceforensics

Github of the FaceForensics dataset

facenet

Face recognition using Tensorflow