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deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-for-time-series-forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

deep-learning-in-production

Develop production ready deep learning code, deploy it and scale it

deep-learning-tensorflow2

基于Tensorflow2的深度学习开源书籍

deep-learning-with-python-notebooks

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

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepclustering

Methods and Implements of Deep Clustering

deeplearning

Python for “Deep Learning”，《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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18个章节，50余万字。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

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmtt-algorithm

deepo

Set up deep learning environment in a single command line.

deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

deepul

densedescriptorlearning-pytorch

Pytorch implementation of paper named "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)

density_aware_chamfer_distance

Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)

deshadowstcgans

An implementation of the paper:"Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal" by Jifeng Wang, etc.

designpattern

Design pattern demo code

detectron2

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

devcomrade

DevComrade - A copy/paste/run productivity improvement utility for developers

devilyuan

DevilYuan可视化股票量化系统，支持选股，历史数据自动下载，策略回测及参数优化，实盘交易和常用的统计功能

deviyuan

dg-cphd-filter

Gaussian mixture implementation of the Discrete-Gamma Cardinalized Probability Hypothesis Density filter

digital_chirality

Testing the chirality of digital imaging operations.

dirty_cat

Encoding methods for dirty categorical variables

dissertation

My MSc dissertation 'Design and Analysis of a Gossip Algorithm'

distributed-camera-tracking-network

This is a course project for distributed sensor networks. The aim is to track a target using network of cameras