6985 Open source projects that are alternatives of or similar to Py Style Transfer

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Keras tutorial for beginners (using TF backend)

Applying Data Science and Machine Learning to Solve Real World Business Problems

links to conference publications in graph-based deep learning

Probabilistic reasoning and statistical analysis in TensorFlow

Mobile AI Compute Engine Model Zoo

Image augmentation library in Python for machine learning.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

pytorch 包教不包会

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Computations and statistics on manifolds with geometric structures.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A deep learning model for style-specific music generation.

Neural Style and MSG-Net

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

CNN image style transfer 🎨.

Machine Learning notebooks for refreshing concepts.

A clear, concise, simple yet powerful and efficient API for deep learning.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Codes for weekly challenges on Deep Learning by Siraj

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Grokking Deep Reinforcement Learning

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Machine Learning Practical course repository

Plain python implementations of basic machine learning algorithms

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Action recognition using soft attention based deep recurrent neural networks

RadIO is a library for data science research of computed tomography imaging

由淺入深的深度學習資源 Collection of deep learning materials for everyone

A simple probabilistic programming language.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

TensorFlow implementation for audio neural style.

Deep Learning Specialization by Andrew Ng on Coursera.

A collection of Bayesian data analysis recipes using PyMC3

Automatically generate headlines to short articles

Repo for the Deep Reinforcement Learning Nanodegree program

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Support content for my blog

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)

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Deep learning codes and projects using Python

Contains my explorations of TensorFlow 2.x

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.