1779 Open source projects that are alternatives of or similar to Ml Workspace

The most common question-patterns for any coding-interview

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

A desktop application for viewing and analyzing tabular data

oneAPI Deep Neural Network Library (oneDNN)

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

CARTO Python package for data scientists

Ensemble learning related books, papers, videos, and toolboxes

A collection of Jupyter Notebooks for learning Python for Data Science.

《大厂面试指北》——包括Java基础、JVM、数据库、mysql、redis、计算机网络、算法、数据结构、操作系统、设计模式、系统设计、框架原理。最佳阅读地址：http://notfound9.github.io/interviewGuide/

Materials for GWU DNSC 6279 and DNSC 6290.

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.

Arm Machine Learning tutorials and examples

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

My Google Foo Bar Challenges 🤓 🧮

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Data analysis library for JavaScript built with Ramda

Easy to use Python library of customized functions for cleaning and analyzing data.

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Help the front End community to rock interview

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

LAMA - automatic model creation framework

HDLTex: Hierarchical Deep Learning for Text Classification

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A command line tool to easily add an ethics checklist to your data science projects.

Pytorch implementation for LapSRN (CVPR2017)

A fast and lightweight AutoML library.

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

Binary and Categorical Focal loss implementation in Keras.

Tools for loading standard data sets in machine learning

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

This is a list of awesome articles about object detection from video.

Understanding emotions from audio files using neural networks and multiple datasets.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

♾️ CML - Continuous Machine Learning | CI/CD for ML

Create UIs for your machine learning model in Python in 3 minutes

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

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Various ML/DL Resources organised at a single place.

A web application to explore currently hyped stocks on Reddit

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Tutorial: Web scraping in Python with Beautiful Soup

Word Embeddings for Information Retrieval

List of all the Interview questions practiced from online resources and books

Season 2 of @twosigma's artificial intelligence programming challenge

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Contains all important data structure and algorithms problems asked in interviews

Appearance-and-Relation Networks

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Latex code for making neural networks diagrams

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.