7314 Open source projects that are alternatives of or similar to Yann

Deep learning codes and projects using Python

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Visualisations for Convolutional Neural Networks in Pytorch

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

TensorFlow and Deep Learning Tutorials

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

SincNet is a neural architecture for efficiently processing raw audio samples.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A High-Quality Real Time Upscaler for Anime Video

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

PyTorch tutorial for learners

Keras tutorial for beginners (using TF backend)

Object classification with CIFAR-10 using transfer learning

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Code examples for training AlexNet using Keras and Theano

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

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

CNN image classifier implemented in Keras Notebook 🖼️.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Convolutional Neural Network for Human Activity Recognition in Tensorflow

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

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

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Code for "A-NICE-MC: Adversarial Training for MCMC"

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

CNN image style transfer 🎨.

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

Music recommender using deep learning with Keras and TensorFlow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Building Convolutional Neural Networks From Scratch using NumPy

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

A modern PyTorch implementation of SRGAN

food image to recipe with deep convolutional neural networks.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

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

Medical image preprocessing and augmentation toolkit for deep learning

中文 Python 笔记

Evaluation of the CNN design choices performance on ImageNet-2012.

Code for Tensorflow Machine Learning Cookbook

Next RecSys Library

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Support content for my blog

CNN visualization tool in TensorFlow

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

High-efficiency floating-point neural network inference operators for mobile, server, and Web

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

Some interesting TensorFlow tutorials for beginners.

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Skin cancer classification using Inceptionv3

Build an OCR for iOS apps