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3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-sagemaker-immersion-day

amazon-web-services-aws-certified-cloud-practitioner-clf-c01-practice-tests-exams-questions-answers

⛳️ PASS: Amazon Web Services Certified (AWS Certified) Cloud Practitioner (CLF-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-multi-label-paper-list

A curated list of papers for multi-label classification.

bagged.cluster.ets

Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time series forecasts

classification-of-internet-ads

Classification Models for Internet Ads Detection

dask_cdsw

Distributed Dask on CDSW

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-residual-networks

Deep Residual Learning for Image Recognition

dl4sci-pytorch-webinar

docs

GPflow documentation

dsutils

Some basic utility functions for data science and data analysis

electric-load-forecasting-considering-environmental-factors-time-series

This predicts the future energy demand by using a Multivariate LSTM (Long Short Term Memory) Model i.e. (a kind of Recurrent Neural Network) by considering environmental & time series factors.

essdive-hydrologic-monitoring

READY TO USE. A reporting format intended for water level, temperature, electrical conductivity, specific conductance, dissolved oxygen, and pH measured in situ using sensors deployed in water bodies.

expressiondb

App for hosting gene expression/ontology data with Shiny

fastmaskrcnn

Mask RCNN in TensorFlow

firetracks

ga-dashboard-demo

A demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL

gaussian-process-be-comfortable-using-it

Gaussian Process Regression Tutorial

generative-adversarial-networks-cookbook

genmap-comparator

An application to compare genetic maps with D3 & Shiny

geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

github_hot_or_not

A Shiny App that analyzes what repos are hot on github.

gp-structure-search

gpflow

Gaussian processes in TensorFlow

gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

gpss-research

Kernel structure discovery research code - likely to be unstable