6397 Open source projects that are alternatives of or similar to Sigver_wiwd

Material del curso de Deep Learning de la Universidad de Chile

Fifty different implementations of Fizzbuzz in Python.

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

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

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

Machine learning and artificial intelligence

Tensorflow 2.0 Quick Start Guide, published by Packt

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Harry Potter and the Allocation of Dirichlet

pip install antialiased-cnns to improve stability and accuracy

Explore and analyse your Home Assistant data

Fast and Easy Infinite Neural Networks in Python

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders

Original versions of the exercises

To contain example scripts for different tools.

A use-case focused tutorial for time series forecasting with python

Python implementation of Deep Learning book

Core components of Python Spatial Analysis Library

[obsolete] Static Widgets for IPython Notebooks

Predictive Maintenance using Pyspark

Examples using Numba.

Code repo for optimizing distributions of molecules.

Documentation and library for decoding omnipod communications.

This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube

Simple but Flexible Recommendation Engine in PyTorch

Deep learning and Reinforcement learning lecture and course work

Research by Carlos Góes

ALAD (Proceedings of IEEE ICDM 2018) official code

This course will teach you only the relevant topics in Python for starting your career in Data Analytics. There are also a bunch of tips and tricks throughout for resume writing, solving case studies, interviews etc. The idea is to help you land a job in analytics and not just teach you Python.

Code and examples from Business Data Science

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

BioBert Pytorch

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)

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

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Program Synthesis

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.

The Numenta Anomaly Benchmark

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

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

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

Developer API service description and example client code

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

Curated list of open-access databases with human structural MRI data

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Periodic Spatial Generative Adversarial Networks

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

A Box detection algorithm for any image containing boxes.

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Collection of resources related to predictive modeling, Azure ML Studio, and the Cortana Intelligence suite.