AutomungeArtificial Learning, Intelligent Machines
Stars: ✭ 119 (-95.6%)
Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Stars: ✭ 132 (-95.12%)
Griffon VmGriffon Data Science Virtual Machine
Stars: ✭ 128 (-95.27%)
Data Science WgSF Brigade's Data Science Working Group.
Stars: ✭ 135 (-95.01%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (-43.96%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+5.88%)
Learning ContentResources for the study group in IIT Guwahati focused on learning Artificial Intelligence.
Stars: ✭ 187 (-93.09%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-92.9%)
RaspberryturkThe Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.
Stars: ✭ 140 (-94.82%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-94.86%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-94.75%)
Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-95.79%)
Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
Stars: ✭ 146 (-94.6%)
Machine Learning🌎 machine learning tutorials (mainly in Python3)
Stars: ✭ 1,924 (-28.87%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-94.6%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (-13.6%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (-94.27%)
Data Science Stack Cookiecutter🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
Stars: ✭ 153 (-94.34%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (-94.23%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (-94.34%)
LazynlpLibrary to scrape and clean web pages to create massive datasets.
Stars: ✭ 1,985 (-26.62%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (-93.64%)
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Stars: ✭ 198 (-92.68%)
RadioRadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-92.68%)
Lets Plot KotlinKotlin API for Lets-Plot - an open-source plotting library for statistical data.
Stars: ✭ 181 (-93.31%)
Pytorch LightningThe lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Stars: ✭ 16,641 (+515.19%)
LgoInteractive Go programming with Jupyter
Stars: ✭ 2,225 (-17.74%)
Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
Stars: ✭ 191 (-92.94%)
Log Anomaly DetectorLog Anomaly Detection - Machine learning to detect abnormal events logs
Stars: ✭ 169 (-93.75%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-92.57%)
GophernetA simple from-scratch neural net written in Go
Stars: ✭ 194 (-92.83%)
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-92.61%)
LaleLibrary for Semi-Automated Data Science
Stars: ✭ 198 (-92.68%)
ColabContinual Learning tutorials and demo running on Google Colaboratory.
Stars: ✭ 168 (-93.79%)
Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Stars: ✭ 202 (-92.53%)
MachinelearningnotebooksPython notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Stars: ✭ 2,790 (+3.14%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+6.77%)
Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
Stars: ✭ 205 (-92.42%)
Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Stars: ✭ 208 (-92.31%)
FlamlA fast and lightweight AutoML library.
Stars: ✭ 205 (-92.42%)
CartoframesCARTO Python package for data scientists
Stars: ✭ 208 (-92.31%)
Text ClassificationText Classification through CNN, RNN & HAN using Keras
Stars: ✭ 216 (-92.01%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (-8.43%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-92.2%)
Voice GenderGender recognition by voice and speech analysis
Stars: ✭ 248 (-90.83%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (-91.98%)
CardioCardIO is a library for data science research of heart signals
Stars: ✭ 218 (-91.94%)
Amazing Feature EngineeringFeature 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.
Stars: ✭ 218 (-91.94%)