6256 Open source projects that are alternatives of or similar to Place Recognition Using Autoencoders And Nn

Code for "A-NICE-MC: Adversarial Training for MCMC"

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Daily Dose of Neural Network that Everyone Needs

Notes, 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

Books, papers and links to latest research in ML/AI

brief introduction to Python for neural networks

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Anomaly detection for temporal data using LSTMs

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Machine Learning notebooks for refreshing concepts.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

🎨 Artistic neural style transfer with tweaks (pytorch).

Visualisations for Convolutional Neural Networks in Pytorch

Code for the Lovász-Softmax loss (CVPR 2018)

Datasets, tools, and benchmarks for representation learning of code.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Support content for my blog

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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)

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Aspect-Based Sentiment Analysis

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Fast and Easy Infinite Neural Networks in Python

Koç University deep learning framework.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Computations and statistics on manifolds with geometric structures.

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Machine Learning for High Energy Physics.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

🟣 Object detection of abstract shapes with neural networks

My personal notes, presentations, and notebooks on everything Deep Learning.

A collection of deep learning models implemented in PyTorch

A clear, concise, simple yet powerful and efficient API for deep learning.

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Tutorial 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.

RadIO is a library for data science research of computed tomography imaging

A collection of Bayesian data analysis recipes using PyMC3

Deep Learning Specialization by Andrew Ng on Coursera.

Implementation of simple autoencoders networks with Keras

Deep learning codes and projects using Python

Applying Data Science and Machine Learning to Solve Real World Business Problems

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠