Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-71.23%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+2946.58%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1404.79%)
BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Stars: ✭ 53 (-63.7%)
Awesome Ai AwesomenessA curated list of awesome awesomeness about artificial intelligence
Stars: ✭ 268 (+83.56%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+3046.58%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (+17.12%)
Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
Stars: ✭ 191 (+30.82%)
Stock AnalysisRegression, Scrapers, and Visualization
Stars: ✭ 255 (+74.66%)
EchotorchA Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Stars: ✭ 231 (+58.22%)
Cranium🤖 A portable, header-only, artificial neural network library written in C99
Stars: ✭ 501 (+243.15%)
CortxCORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
Stars: ✭ 426 (+191.78%)
Deep Learning For HackersMachine 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)
Stars: ✭ 586 (+301.37%)
TensorslowRe-implementation of TensorFlow in pure python, with an emphasis on code understandability
Stars: ✭ 657 (+350%)
GdrlGrokking Deep Reinforcement Learning
Stars: ✭ 304 (+108.22%)
SmileStatistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (+3606.85%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+465.75%)
Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Stars: ✭ 831 (+469.18%)
Gaze EstimationA deep learning based gaze estimation framework implemented with PyTorch
Stars: ✭ 33 (-77.4%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+572.6%)
Cnn SvmAn Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Stars: ✭ 170 (+16.44%)
FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
Stars: ✭ 165 (+13.01%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (+31.51%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+5310.96%)
data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Stars: ✭ 52 (-64.38%)
SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Stars: ✭ 165 (+13.01%)
Fuku MlSimple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (+91.78%)
YannlYet another neural network library
Stars: ✭ 37 (-74.66%)
Start Machine Learning In 2020A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Stars: ✭ 357 (+144.52%)
Tensorflow ResourcesCurated Tensorflow code resources to help you get started with Deep Learning.
Stars: ✭ 330 (+126.03%)
Machine Learning Octave🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Stars: ✭ 637 (+336.3%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+769.86%)
LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (-2.74%)
Quant Finance ResourcesCourses, Articles and many more which can help beginners or professionals.
Stars: ✭ 36 (-75.34%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-84.93%)
NeuroflowArtificial Neural Networks for Scala
Stars: ✭ 105 (-28.08%)
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Stars: ✭ 67 (-54.11%)
Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Stars: ✭ 900 (+516.44%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-44.52%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-45.89%)
Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (-47.95%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+39.73%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+2058.9%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+6004.11%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-39.73%)
MlkitA simple machine learning framework written in Swift 🤖
Stars: ✭ 144 (-1.37%)