6256 Open source projects that are alternatives of or similar to Autoencoders

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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]

Plain python implementations of basic machine learning algorithms

Image augmentation library in Python for machine learning.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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

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.

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

pytorch 包教不包会

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Grokking Deep Reinforcement Learning

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Computations and statistics on manifolds with geometric structures.

Keras tutorial for beginners (using TF backend)

🎨 Artistic neural style transfer with tweaks (pytorch).

Aspect-Based Sentiment Analysis

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

brief introduction to Python for neural networks

Koç University deep learning framework.

Codes for weekly challenges on Deep Learning by Siraj

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

links to conference publications in graph-based deep learning

Machine Learning Practical course repository

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Probabilistic reasoning and statistical analysis in TensorFlow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

A simple probabilistic programming language.

Repo for the Deep Reinforcement Learning Nanodegree program

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Contains my explorations of TensorFlow 2.x

Deep Learning Specialization by Andrew Ng on Coursera.

A collection of Bayesian data analysis recipes using PyMC3

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)

🧑‍🏫 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, ... 🧠

Daily Dose of Neural Network that Everyone Needs

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

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

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

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.

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

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

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

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

Fast and Easy Infinite Neural Networks in Python

Code for the Lovász-Softmax loss (CVPR 2018)

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

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

Support content for my blog

Visualisations for Convolutional Neural Networks in Pytorch

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

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