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138 search results found

Sunstreaker ⭐ 126

以jax为后端的类似keras的框架

Hierarchical Dnn Interpretations ⭐ 119

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Learn Machine Learning ⭐ 117

Learn to Build a Machine Learning Application from Top Articles

Machine Learning Articles ⭐ 113

List of interesting articles on different topics of machine learning and deep learning

Relataly Public Python Tutorials ⭐ 109

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

Ntds_2016 ⭐ 91

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

Sigmoidal_ai ⭐ 89

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Pytorch Wrapper ⭐ 87

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

Betaml.jl ⭐ 83

Beta Machine Learning Toolkit

Sadedegel ⭐ 81

A General Purpose NLP library for Turkish

Deep River ⭐ 79

Phormatics ⭐ 79

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Nn Scratch ⭐ 74

Coding up a Neural Network Classifier from Scratch

Deep Explanation Penalization ⭐ 74

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Basic Machine Learning ⭐ 71

This is a repo of basic Machine Learning what I learn. More to go...

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Allstate_capstone ⭐ 69

Allstate Kaggle Competition ML Capstone Project

100daysofml ⭐ 67

100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

Ml Coursera ⭐ 67

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Generative modeling of synthetic time series data and time series augmentations

Chicksexer ⭐ 60

A Python package for gender classification.

Machine Learning ⭐ 60

Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms

Puzzlelib ⭐ 57

Deep Learning framework with NVIDIA & AMD support

Coursera_ml_da_specialization ⭐ 53

Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)

Mri Analysis Pytorch ⭐ 52

MRI analysis using PyTorch and MedicalTorch

Ai Platform ⭐ 51

An open-source platform for automating tasks using machine learning models

Machine Learning Andrewng Deeplearning.ai ⭐ 49

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

Ai Math Roadmap ⭐ 49

Your no-nonsense guide to the Math used in Artificial Intelligence

Kaggle Study ⭐ 47

TIA(Today I Analyzed) - Data Analysis, Kaggle Study

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

Rosetta_recsys2019 ⭐ 42

The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI

Machine Learning ⭐ 41

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Deep Learning Resources ⭐ 41

A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.

Minerva Training Materials ⭐ 41

Learn advanced data science on real-life, curated problems

Datadrivendynsyst ⭐ 40

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Tales Science Data ⭐ 40

WORK UNDER RESTRUCTURING

Data Science Regular Bootcamp ⭐ 39

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

Awesome Data Science ⭐ 39

Personal collection of interesting links & research papers related to data science (particularly in the area of Deep Learning)

Mckinsey Smartcities Traffic Prediction ⭐ 38

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Easiest way to use AI models without coding (Web UI & API support)

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

A lightweight and visual AutoML system

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Graph Representation Analysis for Connected Embeddings

A REST API to serve machine learning and deep learning models

A working machine learning framework in pure Mojo 🔥

Complete Data Science Roadmap ⭐ 29

Complete Roadmap For Data Science

Crypto Predict ⭐ 29

A dockerized prediction API for crypto.

Boltzmannmachines.jl ⭐ 28

A Julia package for training and evaluating multimodal deep Boltzmann machines

Notebooks ⭐ 27

Various notebooks we're working on from either our blog cfe.sh/blog or as general research.

Malnet Graph ⭐ 27

A large-scale database for graph representation learning

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Autonomio ⭐ 26

Core functionality for the Autonomio augmented intelligence workbench.

Machinelearning_breastcancer_python ⭐ 26

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

Deepchecker ⭐ 26

This is a deep learning based library for handling Turkish clitics such as da, de, ki and mi.

Omicselector ⭐ 26

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

Blogcode ⭐ 25

Sample code from my blog posts on Medium and my personal website.

Human Resource Analytics And Employee Churn Prediction ⭐ 24

A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?

Encodermap ⭐ 24

python library for dimensionality reduction

Open Datasets ⭐ 23

Running list of Open Datasets

Neuromantic ⭐ 22

Latest Data Science Materials

Data Science End To End ⭐ 22

A Respository to get you job ready as a Data Scientist

Data Analysis ⭐ 22

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

Har Keras Coreml ⭐ 21

Human Activity Recognition (HAR) with Keras and CoreML

Port of Darknet YOLO for Go ecosystem

Ai Cheat Sheet ⭐ 19

cheat sheet for Artificial Intelligence

Compmethods ⭐ 18

"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Nn Toolbox ⭐ 18

A toolbox of commonly used deep learning components, procedures and applications

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Deep_gas_oracle ⭐ 16

Unofficial implementation of the paper: "Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price"

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

19 Questions ⭐ 15

A machine learning / bayesian inference engine assigning attributes to objects

Loan Risk Neural Network ⭐ 15

Loan Risk Prediction Neural Network and API

Deeprain ⭐ 15

short term precipitation prediction with a UNet

Stock Price Prediction ⭐ 15

A practice project for machine learning and stop price prediction

Forecasting Solar Energy ⭐ 14

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Scratchml ⭐ 14

Implementations of the Machine Learning models and algorithms from scratch using NumPy only.

Data Science Portfolio ⭐ 13

Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .

AI@UCF's custom-made course, organized by semesters

Time Series Forecasting ⭐ 13

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

Machinelearning ⭐ 13

From linear regression towards neural networks...

Extra_keras_datasets ⭐ 13

📃🎉 Additional datasets for tensorflow.keras

Deep Neural Networks For Baseball ⭐ 13

A repository to follow along with Andrew Trask's "Grokking Deep Learning" by modelling baseball statistics using various architectures of neural networks built from scratch.

Har Wisdm Lstm Rnns ⭐ 12

Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks

Model_deployment ⭐ 12

A collection of model deployment library and technique.

Artificial_curiosity ⭐ 12

Adaptive Reinforcement Learning of curious AI basketball agents

Reddittextclassification ⭐ 12

Reddit Gender Text-Classification.

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Systemml Nn ⭐ 12

A deep learning library for Apache SystemML.

Awesome Data Science ⭐ 12

Laundry List of Data Science / ML /AI resources available online

Machine Learning Projects ⭐ 12

The best way to get started with learning machine learning is to implement beginner to advanced level machine learning projects 🤖

Keras_tensorflow_on_iris ⭐ 10

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

Numerical Bric A Brac ⭐ 10

Numerical Methods with Python, Numpy and Matplotlib

Lung Cancer Detection ⭐ 10

This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.

Mdeeplearn ⭐ 10

📚 🍑 Machine Learning and Deep Learning with examples.

Langdist ⭐ 10

Multilingual Language Modeling Toolkit

Machine Learning Project Code ⭐ 9

A collection of Industry based Machine Learning projects for students and professionals who want to mention projects in their CVs, master ML algorithms, and prepare for ML interviews.

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