ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+1064.29%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+29235.71%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+8246.43%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+1132.14%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (+396.43%)
DmsmsgrcgA photo OCR project aims to output DMS messages contained in sign structure images.
Stars: ✭ 18 (-35.71%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (+675%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (+189.29%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+7746.43%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (+482.14%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (+100%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (+267.86%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+6571.43%)
StarnetStarNet
Stars: ✭ 141 (+403.57%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (+421.43%)
IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
Stars: ✭ 152 (+442.86%)
Image To 3d BboxBuild a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (+614.29%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (+642.86%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (+675%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (+507.14%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+685.71%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (+710.71%)
Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (+2417.86%)
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 (+407.14%)
PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Stars: ✭ 31,995 (+114167.86%)
Motion SenseMotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
Stars: ✭ 159 (+467.86%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (+378.57%)
Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-17.86%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (+571.43%)
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 (+510.71%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (+678.57%)
Hep mlMachine Learning for High Energy Physics.
Stars: ✭ 133 (+375%)
JoypyJoyplots in Python with matplotlib & pandas 📈
Stars: ✭ 322 (+1050%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (+875%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+871.43%)
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (+11710.71%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (+1032.14%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+14728.57%)
TrashnetDataset of images of trash; Torch-based CNN for garbage image classification
Stars: ✭ 368 (+1214.29%)
Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
Stars: ✭ 63 (+125%)
Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Stars: ✭ 12 (-57.14%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+1546.43%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+15785.71%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (+2192.86%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+1732.14%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+2400%)
PbpythonCode, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+6057.14%)