All Projects → CS-7641-assignments → Similar Projects or Alternatives

428 Open source projects that are alternatives of or similar to CS-7641-assignments

cs7641-assignment4
CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
Stars: ✭ 14 (-89.63%)
Mutual labels:  omscs, georgia-tech, cs7641
Automl alex
State-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-2.22%)
Mutual labels:  sklearn, ml
Hyperparameter hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+380%)
Mutual labels:  sklearn, ml
Pailab
a package for versioning, automatization and analysis of machine learning development
Stars: ✭ 25 (-81.48%)
Mutual labels:  sklearn, ml
Machine Learning
从零基础开始机器学习之旅
Stars: ✭ 209 (+54.81%)
Mutual labels:  sklearn, ml
mlapp
MLApp is a Python library for building scalable data science solutions that meet modern software engineering standards.
Stars: ✭ 42 (-68.89%)
Mutual labels:  ml
lukai
Luk.ai Clients - Federated Machine Learning for Everyone!
Stars: ✭ 20 (-85.19%)
Mutual labels:  ml
neural inverse knitting
Code for Neural Inverse Knitting: From Images to Manufacturing Instructions
Stars: ✭ 30 (-77.78%)
Mutual labels:  ml
DeepBump
Normal & height maps generation from single pictures
Stars: ✭ 185 (+37.04%)
Mutual labels:  ml
deeplearning-paper-notes
Reading notes on deep learning papers---深度学习论文阅读笔记
Stars: ✭ 36 (-73.33%)
Mutual labels:  ml
azureml-cheatsheets
Azure Machine Learning Cheat Sheets
Stars: ✭ 23 (-82.96%)
Mutual labels:  ml
r2inference
RidgeRun Inference Framework
Stars: ✭ 22 (-83.7%)
Mutual labels:  ml
zingg
Scalable identity resolution, entity resolution, data mastering and deduplication using ML
Stars: ✭ 655 (+385.19%)
Mutual labels:  ml
KMeans elbow
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Stars: ✭ 35 (-74.07%)
Mutual labels:  sklearn
neptune-client
📒 Experiment tracking tool and model registry
Stars: ✭ 348 (+157.78%)
Mutual labels:  ml
deep-explanation-penalization
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
Stars: ✭ 110 (-18.52%)
Mutual labels:  ml
cli
Polyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-86.67%)
Mutual labels:  ml
GaussianNB
Gaussian Naive Bayes (GaussianNB) classifier
Stars: ✭ 17 (-87.41%)
Mutual labels:  ml
rps-cv
A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
Stars: ✭ 102 (-24.44%)
Mutual labels:  sklearn
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-85.93%)
Mutual labels:  sklearn
sciblox
sciblox - Easier Data Science and Machine Learning
Stars: ✭ 48 (-64.44%)
Mutual labels:  sklearn
pmml4s
PMML scoring library for Scala
Stars: ✭ 49 (-63.7%)
Mutual labels:  ml
meerkat
Flexible data structures for complex machine learning datasets.
Stars: ✭ 115 (-14.81%)
Mutual labels:  ml
scikitcrf NER
Python library for custom entity recognition using Sklearn CRF
Stars: ✭ 17 (-87.41%)
Mutual labels:  sklearn
plinycompute
A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.
Stars: ✭ 27 (-80%)
Mutual labels:  ml
sklearn-pmml-model
A library to parse and convert PMML models into Scikit-learn estimators.
Stars: ✭ 71 (-47.41%)
Mutual labels:  sklearn
get smarties
Dummy variable generation with fit/transform capabilities
Stars: ✭ 23 (-82.96%)
Mutual labels:  sklearn
pmml4s-spark
PMML scoring library for Spark as SparkML Transformer
Stars: ✭ 16 (-88.15%)
Mutual labels:  ml
nalaf
NLP framework in python for entity recognition and relationship extraction
Stars: ✭ 104 (-22.96%)
Mutual labels:  ml
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
Stars: ✭ 110 (-18.52%)
Mutual labels:  ml
flutter-vision
iOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage
Stars: ✭ 45 (-66.67%)
Mutual labels:  ml
deep-significance
Enabling easy statistical significance testing for deep neural networks.
Stars: ✭ 266 (+97.04%)
Mutual labels:  ml
ecole
Extensible Combinatorial Optimization Learning Environments
Stars: ✭ 249 (+84.44%)
Mutual labels:  ml
exemplary-ml-pipeline
Exemplary, annotated machine learning pipeline for any tabular data problem.
Stars: ✭ 23 (-82.96%)
Mutual labels:  sklearn
colabs
This repository holds the Google Colabs for the EdX TinyML Specialization
Stars: ✭ 73 (-45.93%)
Mutual labels:  ml
GatedPixelCNNPyTorch
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
Stars: ✭ 68 (-49.63%)
Mutual labels:  ml
cheatsheets-ai-fork
Cheat Sheets for deep learning and machine learning.
Stars: ✭ 21 (-84.44%)
Mutual labels:  ml
FlutterIOT
Visit our website for more Mobile and Web applications
Stars: ✭ 66 (-51.11%)
Mutual labels:  ml
youtube-or-pornhub
Service identification on ciphered traffic.
Stars: ✭ 26 (-80.74%)
Mutual labels:  ml
jpeg-defense
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Stars: ✭ 82 (-39.26%)
Mutual labels:  georgia-tech
mlflow-docker
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
Stars: ✭ 146 (+8.15%)
Mutual labels:  ml
Learning-Resources
This repository contains curated, useful resources drafted by DSC Domain Leads.
Stars: ✭ 21 (-84.44%)
Mutual labels:  ml
mildnet
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Stars: ✭ 76 (-43.7%)
Mutual labels:  ml
ml-graphlab-boilerplate
Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)
Stars: ✭ 17 (-87.41%)
Mutual labels:  ml
skutil
NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil
Stars: ✭ 29 (-78.52%)
Mutual labels:  sklearn
Decision-Tree-Implementation
A python 3 implementation of decision tree (machine learning classification algorithm) from scratch
Stars: ✭ 19 (-85.93%)
Mutual labels:  sklearn
jovian-py
Collaboration platform for data science projects & Jupyter notebooks
Stars: ✭ 91 (-32.59%)
Mutual labels:  ml
predict Lottery ticket
双色球+大乐透彩票AI预测
Stars: ✭ 341 (+152.59%)
Mutual labels:  ml
rs datasets
Tool for autodownloading recommendation systems datasets
Stars: ✭ 22 (-83.7%)
Mutual labels:  ml
Deception-Detection-on-Amazon-reviews-dataset
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
Stars: ✭ 42 (-68.89%)
Mutual labels:  sklearn
hana-ml-samples
This project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.
Stars: ✭ 67 (-50.37%)
Mutual labels:  ml
Hacktoberfest-2k19
Just add pull requests to this repo and stand a chance to win a limited edition Hacktoberfest T-shirt.
Stars: ✭ 33 (-75.56%)
Mutual labels:  ml
aws-experiments-comprehend-custom-classifier
How to train a custom NLP classifier with AWS Comprehend?
Stars: ✭ 25 (-81.48%)
Mutual labels:  ml
foreshadow
An automatic machine learning system
Stars: ✭ 29 (-78.52%)
Mutual labels:  sklearn
dask-sql
Distributed SQL Engine in Python using Dask
Stars: ✭ 271 (+100.74%)
Mutual labels:  ml
emotiw2017
Emotiw2017 code
Stars: ✭ 16 (-88.15%)
Mutual labels:  sklearn
creative-prediction
Creative Prediction with Neural Networks
Stars: ✭ 22 (-83.7%)
Mutual labels:  ml
KivyMLApp
The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.
Stars: ✭ 54 (-60%)
Mutual labels:  sklearn
RE-VERB
speaker diarization system using an LSTM
Stars: ✭ 22 (-83.7%)
Mutual labels:  ml
basis-expansions
Basis expansion transformers in sklearn style.
Stars: ✭ 74 (-45.19%)
Mutual labels:  sklearn
1-60 of 428 similar projects