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A reading list on LLM based Synthetic Data Generation 🔥
List of datasets, codes, and contests related to remote sensing change detection
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
machine learning and deep learning tutorials, articles and other resources
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
This curated list contains python packages for time series analysis
An intuitive library to extract features from time series.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A tensorflow implementation of object-contour-detection with fully convolutional encoder decoder network
Locating and filling missing words in sentences based on language models
R Package for working with radiometric thermal image files and data
Weather-Flight-Bot, a combined model of semantics slot-filling and intent detection powered by neural network (LSTM and CNN layers).
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
Paper list and source code for multi-object-tracking
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Matlab Implementation of Harris-Laplace and Harris-Affine Interest Point Detection Algorithms
It is my work with the 2 GB data set of cpu usase
Hands-on TensorBoard (TensorFlow Dev Summit 2017)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Demos associated with the kernel gateway incubator project
deeplearning.ai , By Andrew Ng, All video link
Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure