6849 Open source projects that are alternatives of or similar to Deep Image Analogy Pytorch

PyTorch tutorial for learners

Deep Learning Projects that Build Themselves

This is a tutorial for PyTorch Geometric on the YooChoose dataset

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

This is an open sourced book on deep learning.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Notes and experiments to understand deep learning concepts

Lets Learn AI

Best Practices on Recommendation Systems

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

IEEE "Invited Talk on Deep Learning" 03/02/2018

A deep learning based gaze estimation framework implemented with PyTorch

Service Classification based on Service Description

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Best Practices, code samples, and documentation for Computer Vision.

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

Create automatic playlists by using Deep Learning to *listen* to the music

真AI人工智能

Application of machine learning to the Coinbase (GDAX) orderbook

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

My Attempt(s) In The World Of ML/DL....

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Pruning and other network surgery for trained TF.Keras models.

Create HTML profiling reports from pandas DataFrame objects

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

High Quality Monocular Depth Estimation via Transfer Learning

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Try out deep learning models online on Google Colab

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Some notebooks

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

3-day dive into deep learning at csc

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

📢 Ready to learn or review your knowledge!

Implementation of the Sliced Wasserstein Autoencoders

My Solution to Assignments of CS231n in Winter2016

Data Reading Blocks for Python

Voice Conversion using Cycle GAN's For Non-Parallel Data

Breast Cancer Classification using CNN and transfer learning

PyTorch tutorials A to Z

Getting started with AllenNLP and PyTorch by training a tweet classifier

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A community run, 5-day PyTorch Deep Learning Bootcamp

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

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

60_Days_RL_Challenge中文版

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

People removal in images using Pix2Pix and YOLO.