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

Synthetic Data Generation for tabular, relational and time series data.

Paper reading notes on Deep Learning and Machine Learning

A brand logo detection system using tensorflow object detection API.

Tensorflow implementation of CycleGAN

Deep Learning Specialization by Andrew Ng on Coursera.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

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A simple probabilistic programming language.

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

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Computations and statistics on manifolds with geometric structures.

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

Predict Cryptocurrency Price with Deep Learning

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

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

A collection of Bayesian data analysis recipes using PyMC3

A course in reinforcement learning in the wild

Digit recognition with Convolutional Neural Networks in WebGL

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

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

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Neural network inference the Unix way

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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)

Visualization toolkit for neural networks in PyTorch! Demo -->

Exercise notebooks for CVND.

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

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

Deep Reinforcement Learning for Keras.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Support content for my blog

中文 Python 笔记

Code for Tensorflow Machine Learning Cookbook

Next RecSys Library

Medical image preprocessing and augmentation toolkit for deep learning

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

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

CNN visualization tool in TensorFlow

Implementation of Quickdraw - an online game developed by Google

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

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

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

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

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

Build an OCR for iOS apps

Some interesting TensorFlow tutorials for beginners.

Daily Dose of Neural Network that Everyone Needs

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Skin cancer classification using Inceptionv3

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Exploratory Project on Fast Screen Space Global Illumination

Repo for Tang et al, bioRxiv 454793 (2018)

3-day dive into deep learning at csc

🎨 Artistic neural style transfer with tweaks (pytorch).

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed