ortalby Goto Github PK

086761

Vision Aided Navigation coursework

100daysofmlcode

Fork this template for the 100 days journal - to keep yourself accountable #100DaysOfMlCode

100mldays

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bookdown

Authoring Books and Technical Documents with R Markdown

calibratesdr

what is my SDR frequency?

carla

Open-source simulator for autonomous driving research.

cartoonizer-with-tflite

How to create a Cartoonizer Android app with TensorFlow Lite models.

cnn_architecture

understanding cnn architecture

comdigpractices2021sii

Todos los materiales para prácticas

coursera-machine-learning

Coursera Machine Learning - Python code

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

cs231a-notes

The course notes for Stanford's CS231A course on computer vision

cs231n.github.io

Public facing notes page

data-science-best-resources

Carefully curated resource links for data science in one place

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

elistimator

Alternative implementation of TensorFlow estimator for ease-of-use

fastai

The fastai deep learning library, plus lessons and and tutorials

fastcampus_slam_codes

Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gluonts

Probabilistic time series modeling in Python

google-machine-learning-course-notes

Notes taken from Google Machine Learning Course provided to public for practice & correction.

google-research

Google Research

gps-measurement-tools