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cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

d2l-pytorch

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

d2l-pytorch-colab

Automatically Generated Notebooks for Colab

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

data-engineer_p

datacamp

datacamp-project-solutions

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

deep-learning-fundamentals

Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments

deep-learning-tensorflow2

基于Tensorflow2的深度学习开源书籍

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

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

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

dr.sure

🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

drowsinessdetector

OpenCV Drowsiness Detector using Python and Dlib

easierpath

tool for labeling medical images

elmo-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.

emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

emnlp2017-relation-extraction

Context-Aware Representations for Knowledge Base Relation Extraction

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fake-image-detect

Old implementation and demonstration of the Capsule-Forensics. The Capsule-Forensics-v2 has been released here: https://github.com/nii-yamagishilab/capsule-forensics-v2

feature_engineering_session_dhs18

Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better Machine Learning Models' where we look at two interesting case studies on how to effectively leverage feature engineering and use a structured approach to build good machine learning models. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018

gasnet

source code of GASNet.

graph-neural-network-papers

Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

hand_pose_detection

Hand Pose Detection System using openPose KeyPoint Detection and following LearnOpenCV Blog

hands-on-graph-analytics-with-neo4j

Hands-On Graph Analytics with Neo4j, Published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.