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A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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Resources for deep learning with satellite & aerial imagery

📢 Ready to learn or review your knowledge!

This toolbox is support material for the book on CNN (http://www.convolution.network).

🙄 Difficult algorithm, Simple code.

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Discovering Interpretable GAN Controls [NeurIPS 2020]

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R package to interface with OpenML

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Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Datasets I have created for scientific summarization, and a trained BertSum model

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

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

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

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

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

The implementation of Relativistic average GAN with Keras

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

Application of machine learning to the Coinbase (GDAX) orderbook

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

My Solution to Assignments of CS231n in Winter2016

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

🎹 symbolic musical datasets

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

Implementation of the Sliced Wasserstein Autoencoders

Pytorch implementation of the DeepDream computer vision algorithm

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Privacy-preserving generative deep neural networks support clinical data sharing

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

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

CubiCasa5k floor plan dataset

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

PyTorch tutorial for learners

DLTK Model Zoo

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

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

The dataset is used to train my own raccoon detector and I blogged about it on Medium

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Spectral Normalization for Keras Dense and Convolution Layers