6784 Open source projects that are alternatives of or similar to A Nice Mc

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

Fast and Easy Infinite Neural Networks in Python

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

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

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

Deep learning codes and projects using Python

A collection of Bayesian data analysis recipes using PyMC3

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

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

PyMC3 educational resources

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Bayesian Data Analysis demos for Python

🎨 Artistic neural style transfer with tweaks (pytorch).

Daily Dose of Neural Network that Everyone Needs

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

The implementation of Relativistic average GAN with Keras

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

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

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.

Visualisations for Convolutional Neural Networks in Pytorch

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

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

Voice Conversion using Cycle GAN's For Non-Parallel Data

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

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

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

Support content for my blog

Python package for computing the Curie depth from the magnetic anomaly

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Aspect-Based Sentiment Analysis

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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.

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

Koç University deep learning framework.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

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

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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)

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

brief introduction to Python for neural networks

The dataset is used to train my own raccoon detector and I blogged about it on Medium

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

Code for the Lovász-Softmax loss (CVPR 2018)

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

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Machine learning, in numpy

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)