6411 Open source projects that are alternatives of or similar to Imagenetv2

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

Useful RadioML Examples

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

Code repository for Advanced Machine Learning with Python, published by Packt

Jupyter notebooks with exercises for the No bullshit guide to linear algebra.

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

Data Science project to cluster loads coming from http://en.openei.org/datasets/files/961/pub/

Finding similar images in the Holidays dataset

Source code for the book, Math for Programmers

Demo for CVPR 2017 paper

The Thalesians' Time Series Analysis (TSA) library

電子書籍『仕事ではじめる機械学習』のサポートリポジトリです

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

Example Numba implementations of functions

Template-free prediction of organic reaction outcomes

Keras implementation of Realtime Multi-Person Pose Estimation

Anomaly detection algorithm implementation in Python

Paper, dataset and code collection on human body reconstruction

Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

People removal in images using Pix2Pix and YOLO.

Board files to build Ultra 96 PYNQ image

Visualize 3DPeople Dataset

Plots from the book "Storytelling with data" implementation using Python and matplotlib

Markdown version of Reverse Engineering the source code of the BioNTech/Pfizer SARS-CoV-2 Vaccine

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Some research experiments

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

a public domain dataset of EEG recordings for music imagery information retrieval

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

Keep your skills sharp by implementing basic algorithms and data structures

R kernel for Jupyter

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube

Converting a pretrained pytorch model to tensorflow

Advanced Data Structures Implementation

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

Deep Learning Specialization by Andrew Ng on Coursera.

A pytorch implementation of VoVNet

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Code for computing interpolating / approximating thin plate splines.

Visualizations and helpers to improve and debug machine learning models for Rasa Open Source

A repository for sharing knowledge on Panel by HoloViz in order to build awesome analytics apps in Python

Skin cancer detection project

Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)

offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124

Machine learning and artificial intelligence

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Yet another black-box optimization library for Python

An PyTorch reimplementation of bottom-up-attention models

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

An extension for IPython/Jupyter that helps to use Fortran in your interactive session.