6296 Open source projects that are alternatives of or similar to Dlwpt Code

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

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

Try out deep learning models online on Google Colab

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Application of machine learning to the Coinbase (GDAX) orderbook

Pytorch implementation of the DeepDream computer vision algorithm

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

A PyTorch implementation of OpenAI's REPTILE algorithm

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

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

Learn OpenCV : C++ and Python Examples

Service Classification based on Service Description

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

Implementation of the Sliced Wasserstein Autoencoders

Data Reading Blocks for Python

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Credit card fraud detection through logistic regression, k-means, and deep learning.

StarNet

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

This is a tutorial for PyTorch Geometric on the YooChoose dataset

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

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

CardIO is a library for data science research of heart signals

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

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

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

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

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!

Breast Cancer Classification using CNN and transfer learning

My Solution to Assignments of CS231n in Winter2016

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

PyTorch tutorial for learners

DLTK Model Zoo

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

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

A collection of all projects pertaining to different layers in the SDC software stack

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

High-quality Neural Networks for Computer Vision 😎

Hiding Images within other images using Deep Learning

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

🙄 Difficult algorithm, Simple code.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

This is Andrew NG Coursera Handwritten Notes.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

List of papers, code and experiments using deep learning for time series forecasting

https://arxiv.org/abs/1707.00836

A collection of materials to help you learn about deep learning

Archived - not answering issues

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Food detection and recommendation with deep learning