FelipeCrispim's Stars
tensorflow/models
Models and examples built with TensorFlow
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.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
udacity/self-driving-car
The Udacity open source self-driving car project
DEAP/deap
Distributed Evolutionary Algorithms in Python
FreeRTOS/FreeRTOS
'Classic' FreeRTOS distribution. Started as Git clone of FreeRTOS SourceForge SVN repo. Submodules the kernel.
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
lukas/ml-class
Machine learning lessons and teaching projects designed for engineers
adashofdata/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
charlesq34/frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
GoogleCloudPlatform/cloudml-samples
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
curiousily/Deep-Learning-For-Hackers
Machine 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)
agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
rchavezj/OpenCV_Projects
List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).
GoogleCloudPlatform/ios-docs-samples
iOS samples that demonstrate APIs and services of Google Cloud Platform.
shekkizh/ImageProcessingProjects
Image processing using python and opencv
theAIGuysCode/OIDv4_ToolKit
Download and visualize single or multiple classes from the huge Open Images v4 dataset
VictorRancesCode/FlaskObjectDetection
Flask Object Detection - TensorFlow
EngIcaro/Power-Forecasting
Photovoltaic Power Forecasting using LSTM
nilsonsales/WashHands
An Arduino project to help people wash their hands correctly during the COVID-19 crisis.