Sklearn ClassificationData Science Notebook on a Classification Task, using sklearn and Tensorflow.
Stars: ✭ 518 (-15.64%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+381.43%)
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Stars: ✭ 412 (-32.9%)
Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+933.55%)
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
Stars: ✭ 13,200 (+2049.84%)
Fraud DetectionCredit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Stars: ✭ 58 (-90.55%)
sklearn-pmml-modelA library to parse and convert PMML models into Scikit-learn estimators.
Stars: ✭ 71 (-88.44%)
foreshadowAn automatic machine learning system
Stars: ✭ 29 (-95.28%)
KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Stars: ✭ 35 (-94.3%)
PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Stars: ✭ 60 (-90.23%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (-94.95%)
ScenescoopA tool to describe the content of videos and suggest similar scenes in other videos/films.
Stars: ✭ 103 (-83.22%)
Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
Stars: ✭ 10,810 (+1660.59%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-94.3%)
Deepsort🧠 AI powered image tagger backed by DeepDetect
Stars: ✭ 209 (-65.96%)
Artificial Intelligence Deep Learning Machine Learning TutorialsA comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Stars: ✭ 2,966 (+383.06%)
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-91.69%)
Machine Learning MindmapA mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Stars: ✭ 5,339 (+769.54%)
playgroundA Streamlit application to play with machine learning models directly from the browser
Stars: ✭ 48 (-92.18%)
scikit-learnبه فارسی، برای مشارکت scikit-learn
Stars: ✭ 19 (-96.91%)
Kaio-machine-learning-human-face-detectionMachine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Stars: ✭ 18 (-97.07%)
skippaSciKIt-learn Pipeline in PAndas
Stars: ✭ 33 (-94.63%)
RecipeAutomated machine learning (AutoML) with grammar-based genetic programming
Stars: ✭ 42 (-93.16%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+538.44%)
Mit Deep Learning Book PdfMIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Stars: ✭ 9,859 (+1505.7%)
SigmaRocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.
Stars: ✭ 98 (-84.04%)
Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Stars: ✭ 294 (-52.12%)
Profanity CheckA fast, robust Python library to check for offensive language in strings.
Stars: ✭ 354 (-42.35%)
KagglerCode for Kaggle Data Science Competitions
Stars: ✭ 614 (+0%)
MovieboxMachine learning movie recommending system
Stars: ✭ 504 (-17.92%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (-68.08%)
Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (-76.87%)
imbalanced-ensembleClass-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
Stars: ✭ 199 (-67.59%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+95.28%)
kaggledatasetsCollection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
Stars: ✭ 44 (-92.83%)
data-science-learning📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
Stars: ✭ 32 (-94.79%)
LudwigData-centric declarative deep learning framework
Stars: ✭ 8,018 (+1205.86%)
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (-92.83%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-87.62%)
codeflareSimplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Stars: ✭ 163 (-73.45%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-97.39%)
AutovizAutomatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 310 (-49.51%)
Rapping Neural NetworkRap song writing recurrent neural network trained on Kanye West's entire discography
Stars: ✭ 951 (+54.89%)
lobeLobe is the world's first AI paralegal.
Stars: ✭ 22 (-96.42%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+3490.88%)