6420 Open source projects that are alternatives of or similar to Fusenet

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

A Caffe Re-Implementation of SENet

Deep learning codes and projects using Python

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

NeMo: a toolkit for conversational AI

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Wi-Fi Geolocation Spoofing with the ESP8266

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Machine Learning notebooks for refreshing concepts.

Convert human motion from video to .bvh

General Assembly's Data Science course in Washington, DC

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Official Repo for Google Cloud AI Platform

Transfer learning for music classification and regression tasks

《统计学原理实验教程（Python）》书中代码实现。尽可能加注释，力求代码的可复用性。

The accompanying files for the book 'Dataviz with Python and JavaScript'

Ciência de Dados aplicada à pandemia do novo coronavírus.

Full Stack Data Science in Python

Navigating the GAN Parameter Space for Semantic Image Editing

VQVAEs, GumbelSoftmaxes and friends

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

A collection of IPython notebooks covering various topics.

Self hosted alternative to Google Photos

Deep Learning examples with Keras.

Visual Question Answering Demo on pretrained model

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Code and examples for JHU Computational Genomics class

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Kaggle Struggle

Simple Implementation of many GAN models with PyTorch.

A sample code of data augmentation methods for wearable sensor data (time-series data)

Natural Language Processing with TensorFlow, published by Packt

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

主要存储Datawhale组队学习中“推荐系统”方向的资料。

[tutorial]A functional, Data Science focused introduction to Python

A collection of tutorials on neural networks, using Theano

Repository containing files for my PyCon 2014 scikit-learn tutorial.

Experimental algorithms. Unsupported.

Tensorflow notes

Scientific Python Geometric Algorithms Library

Implementing of the "A Neural Algorithm of Artistic Style"

Food detection and recommendation with deep learning

Quantitative finance research tools in Python

18.S096 three-week course at MIT

A tutorial on TensorFlow

Deep Learning / NLP tutorial for Chatbot Developers

Example Machine Learning Scripts for Numerai's Tournament

A web frontend for scheduling Jupyter notebook reports

虾神的Python示例代码库

Analysis scripts of things related to satellites

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

fastai V2 implementation of Timeseries classification papers.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Tools for using a variational auto-encoder for latent image encoding and generation.