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decision-tree-1

A decision tree classifer based on entropy (Artificial Intelligence)

decision-tree-implementation

Decision tree implementation in C++ to classify and predict salary of people using ID3 and C4.5 algorithms

decision-tree-js

Small JavaScript implementation of ID3 Decision tree

decision-trees

decisiontree

c++ implementation of decision tree algorithm

deep-3d-obj-recognition

3D Object Recognition with Deep Networks Project for 3D Vision - ETHZ

deep-daze

Deep Daze - Simple command line tool for text to image generation using CLIP and Siren

deep-forest

An implementation of Deep Forest 2021.2.1.

deep-generative-models-for-natural-language-processing

DGMs for NLP. A roadmap.

deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

deep-learning-book

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

deep-learning-for-finance

Some Deep Learning and Machine learning models for stock market

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-in-production

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

deep-learning-in-production-1

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

deep-learning-math-kernel-research

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-learning.jl

Introduction to deep learning using Flux.jl

deep-linear-network

A simple implementation of a deep linear Pytorch module

deep-motion-editing

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

deep-reinforcement-learning-algorithms

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-rl-for-portfolio-optimization

Deep Reinforcement Learning for Portfolio Optimization

deep-smoke-machine

Deep learning models and dataset for recognizing industrial smoke emissions

deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System.

deep-symbolic-regression

Source code for deep symbolic regression.

deep3dfacereconstruction

Deep3DFaceReconstruction

deepad

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

deepcalib

DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras