Deep Learning

Deep Learning for humans

Caffe: a fast open framework for deep learning.

Deep Learning Book Chinese Translation

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

The most cited deep learning papers

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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

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.

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

The fastai deep learning library, plus lessons and tutorials

A PyTorch Library for Accelerating 3D Deep Learning Research

A PyTorch Library for Accelerating 3D Deep Learning Research

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

This repo attempts to serve as a guideline for building production-level deep learning systems to be deployed in real world applications.

Geometric Deep Learning Extension Library for PyTorch

Visualizer for neural network, deep learning and machine learning models

Deep Learning for humans

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

PyTorch Tutorial for Deep Learning Researchers

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

밑바닥부터 시작하는 딥러닝2 복습 스터디

Machine Learning and Deep Learning lessons.

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

This library provides a set of basic functions for different types of deep learning (and other) algorithms in C.This deep learning library will be constatly updated

Learn Deep Learning in 8 weeks. Some background knowledge in High School level calculus and Python Programming would be helpful. A compilation of resources. Bear in mind that learning Deep learning takes a lot of time, years in fact. The "8 weeks" is just to give you an idea of progression of topics and resources. So, keep learning and enjoy.

Curriculum to Learn Natural Language Processing in 5 weeks. Prerequisites in Python, Deep Learning, Linear Algebra, Probability and Calculus is Needed. A compilation of resources. Bear in mind that learning NLP takes a lot of time, years in fact. The "5 weeks" is just to give you an idea of progression of topics and resources.

A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#!

This repo attempts to serve as a guideline for building production-level deep learning systems to be deployed in real world applications.

links to conference publications in graph-based deep learning

A Course on Mathematical Theories of Deep Learning

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

A flexible framework of neural networks for deep learning

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

Geometric Deep Learning Extension Library for PyTorch

Paper reading notes on Deep Learning and Machine Learning

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A Docker Image for Deep Learning with Python 3

An accurate and efficient deep learning method for single-cell RNA-seq data imputation

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Machine Learning and Deep Learning Resources

A tool for computing the coding potential of RNA transcript sequences using deep learning classification model

Visualizer for neural network, deep learning and machine learning models

Python code to extract features from Protein sequences for Machine Learning/Deep Learning

A small library for managing deep learning models, hyperparameters and datasets

An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

BGC Detection and Classification Using Deep Learning

Combining deep learning and reinforcement learning.

nGraph - open source C++ library, compiler and runtime for Deep Learning

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

DELTA is a deep learning based natural language and speech processing platform.