intro-to-mlA basic introduction to machine learning (one day training).
Stars: ✭ 15 (-44.44%)
Mutual labels: scikit-learn
Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
Stars: ✭ 41 (+51.85%)
Mutual labels: scikit-learn
kenchiA scikit-learn compatible library for anomaly detection
Stars: ✭ 36 (+33.33%)
Mutual labels: scikit-learn
TF-Speech-Recognition-Challenge-SolutionSource code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.
Stars: ✭ 58 (+114.81%)
Mutual labels: scikit-learn
100DaysOfMLCodeI am taking up the #100DaysOfMLCode Challenge 😎
Stars: ✭ 12 (-55.56%)
Mutual labels: scikit-learn
PorndetectorPorn images detector with python, tensorflow, scikit-learn and opencv.
Stars: ✭ 248 (+818.52%)
Mutual labels: scikit-learn
scikit-hyperbandA scikit-learn compatible implementation of hyperband
Stars: ✭ 68 (+151.85%)
Mutual labels: scikit-learn
go-ml-benchmarks⏱ Benchmarks of machine learning inference for Go
Stars: ✭ 27 (+0%)
Mutual labels: scikit-learn
hubPublic reusable components for Polyaxon
Stars: ✭ 8 (-70.37%)
Mutual labels: scikit-learn
lending-clubApplying machine learning to predict loan charge-offs on LendingClub.com
Stars: ✭ 39 (+44.44%)
Mutual labels: scikit-learn
pipelinePipelineAI Kubeflow Distribution
Stars: ✭ 4,154 (+15285.19%)
Mutual labels: scikit-learn
pygramsExtracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence
Stars: ✭ 52 (+92.59%)
Mutual labels: scikit-learn
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 (+10885.19%)
Mutual labels: scikit-learn
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+11574.07%)
Mutual labels: scikit-learn
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 (+637.04%)
Mutual labels: scikit-learn
scikit-learn-intelexIntel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Stars: ✭ 887 (+3185.19%)
Mutual labels: scikit-learn
PredictionAPITutorial on deploying machine learning models to production
Stars: ✭ 56 (+107.41%)
Mutual labels: scikit-learn
Movie-Recommendation-ChatbotMovie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…
Stars: ✭ 33 (+22.22%)
Mutual labels: scikit-learn