7301 Open source projects that are alternatives of or similar to Faceaging By Cyclegan

Python implementation of Deep Learning book

Machine learning and process automation

Montréal Deep Learning Summer School 2016 material

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Core components of Python Spatial Analysis Library

Plots from the book "Storytelling with data" implementation using Python and matplotlib

Joint Vector Spaces

💭 This is the accompanying repo for my article on converting a Jupyter Notebook to a streamlit web app.

Predictive Maintenance using Pyspark

Authors official implementation of "Big GANs Are Watching You" pre-print

Course notes for MIT manipulation class

American Gut open-access data and IPython notebooks

Code repo for optimizing distributions of molecules.

😡😇 Stanford Sentiment Treebank loader in Python

Stochastic Delta Rule implemented in Pytorch on DenseNet

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

The code for the MaD TwinNet. Demo page:

Deep Neural Decision Trees

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Course Notes for Text Mining - Prof. Peter Organisciak

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Tutorials on optimization and coding skills

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

100天机器学习 （翻译+ 实操）

Sample sample scripts and notebooks on processing satellite imagery

A documentation browser with support for DevDocs, Dash and Hoogle, written in Haskell and QML

Deep learning and Reinforcement learning lecture and course work

Serverless ML Framework

Face Landmark Detector based on Mobilenet V1

Yet another black-box optimization library for Python

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube

R kernel for Jupyter

Machine Learning Sound Classifier

A library of probabilistic model based RL algorithms in pytorch

Image Tampering Detection using ELA and CNN

ALAD (Proceedings of IEEE ICDM 2018) official code

Deep Variational Reinforcement Learning

Code for Quality-Aware Template Matching for Deep Learning

Datasets, tools, and benchmarks for representation learning of code.

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

All of the code for my Medium articles

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Материалы мини-курса на Stepik "Нейронные сети и обработка текста"

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

Code and examples from Business Data Science

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'

Implementation of UFCNN in Keras

Putting machine learning in the hands of cancer biologists

Hands-On Data Science for Marketing, published by Packt

《集体智慧编程》Python代码（基于Python3.6）和数据集