joetelila

joetelila's Stars

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28.1k65651112.8k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k2191574.1k

• imfunniee/gitfolio

  :octocat: personal website + blog for every github user

  Language:JavaScript6.5k6056687

• fastai/courses

  fast.ai Courses

  Language:Jupyter Notebook5.6k312842.7k

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.5k1261.5k1.1k

• swoodford/aws

  A collection of bash shell scripts for automating various tasks with Amazon Web Services using the AWS CLI and jq.

  Language:Shell1.2k546576

• earhian/Humpback-Whale-Identification-1st-

  https://www.kaggle.com/c/humpback-whale-identification

  Language:Python642917184

• PlanSys2/ros2_planning_system

  This repo contains a PDDL-based planning system for ROS2.

  Language:C++3961812287

• gsurma/image_classifier

  CNN image classifier implemented in Keras Notebook 🖼️.

  Language:Jupyter Notebook18213398

• drscotthawley/audio-classifier-keras-cnn

  Audio Classifier in Keras using Convolutional Neural Network

  Language:Python1609262

• md-cs-student-unipi/Materials

  🎓Collection of useful repositories

  Language:Python1415037

• IBM/image-classification-using-cnn-and-keras

  Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.

  Language:Jupyter Notebook10617567

• acba/elm

  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

  Language:Python9271057

• flandolfi/IR-exercises

  Solutions of the various test exams of the Information Retrieval course

  Language:TeX30708

• magemma/Notes-on-Computational-Mathematics

  Notes from the Computational Mathematics course held by professor Antonio Frangioni and professor Federico Poloni at University of Pisa

  Language:TeX12501

• gsharma007/Data_Mining_and_Machine_Learning

  Naive_Bayes | Neural_Networks | Support_Vector_Machines | Nearest_Neighbours | Decision_Tree_Classifiers | Ensembles (Random Forest, Boosting) | Bayesian Networks

  Language:Jupyter Notebook3200

• gocardless/stolon

  PostgreSQL cloud native High Availability and more.

  Language:Go211010