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 (-1.81%)
Spark Fm ParallelsgdImplementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Stars: ✭ 220 (-0.45%)
Python AwesomeLearn Python, Easy to learn, Awesome
Stars: ✭ 219 (-0.9%)
Timeseries fastaifastai V2 implementation of Timeseries classification papers.
Stars: ✭ 221 (+0%)
HtmresearchExperimental algorithms. Unsupported.
Stars: ✭ 221 (+0%)
Malware DetectionMalware Detection and Classification Using Machine Learning
Stars: ✭ 217 (-1.81%)
Kitti DatasetVisualising LIDAR data from KITTI dataset.
Stars: ✭ 217 (-1.81%)
NotebookerProductionise your Jupyter Notebooks as easily as you wrote them.
Stars: ✭ 215 (-2.71%)
Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
Stars: ✭ 218 (-1.36%)
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-1.36%)
FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
Stars: ✭ 220 (-0.45%)
SecSeed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
Stars: ✭ 221 (+0%)
PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Stars: ✭ 213 (-3.62%)
Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
Stars: ✭ 220 (-0.45%)
TensorflowDeep Learning Zero to All - Tensorflow
Stars: ✭ 216 (-2.26%)
Text ClassificationText Classification through CNN, RNN & HAN using Keras
Stars: ✭ 216 (-2.26%)
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 (-1.36%)
TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
Stars: ✭ 215 (-2.71%)
PaperboyA web frontend for scheduling Jupyter notebook reports
Stars: ✭ 221 (+0%)
WeightwatcherThe WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Stars: ✭ 213 (-3.62%)
MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Stars: ✭ 222 (+0.45%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (-1.81%)
Interpret TextA library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Stars: ✭ 220 (-0.45%)
CardioCardIO is a library for data science research of heart signals
Stars: ✭ 218 (-1.36%)
Vqa demoVisual Question Answering Demo on pretrained model
Stars: ✭ 222 (+0.45%)
Sklearn pycon2014Repository containing files for my PyCon 2014 scikit-learn tutorial.
Stars: ✭ 221 (+0%)
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (-1.81%)
MaterialsBonus materials, exercises, and example projects for our Python tutorials
Stars: ✭ 3,211 (+1352.94%)
Ipython NotebooksA collection of IPython notebooks covering various topics.
Stars: ✭ 2,543 (+1050.68%)
How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
Stars: ✭ 218 (-1.36%)
Vae ClusteringUnsupervised clustering with (Gaussian mixture) VAEs
Stars: ✭ 220 (-0.45%)
Python SonicProgramming Music with Python, Sonic Pi and Supercollider
Stars: ✭ 217 (-1.81%)
Scikit GeometryScientific Python Geometric Algorithms Library
Stars: ✭ 220 (-0.45%)
Stock market predictionThis is the code for "Stock Market Prediction" by Siraj Raval on Youtube
Stars: ✭ 217 (-1.81%)
Stock PredictionStock price prediction with recurrent neural network. The data is from the Chinese stock.
Stars: ✭ 219 (-0.9%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-7.69%)
MirrorVisualisation tool for CNNs in pytorch
Stars: ✭ 219 (-0.9%)
Rl Adventure 2PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Stars: ✭ 2,633 (+1091.4%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (-0.45%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (+1070.59%)
Dl For ChatbotDeep Learning / NLP tutorial for Chatbot Developers
Stars: ✭ 221 (+0%)
Hacktoberfest2020A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.
Stars: ✭ 221 (+0%)