neural-network

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

Reliability diagrams visualize whether a classifier model needs calibration

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks i...

In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead b...

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method

List of interesting articles on different topics of machine learning and deep learning

Evolving squids through neuroevolution

A lightweight deep learning training framework implemented from scratch in C++, featuring a PyTorch-style API.

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.0141...

Restricted Boltzmann Machines (RBMs) in PyTorch

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Generate monophonic melodies with machine learning using a basic LSTM RNN

📖 In Russian: cписок русскоязычных публикаций matyushkin и блокноты Jupyter для различных образовательных ресурсов.

Technical blog repo of metaflow

Neural HMMs are all you need (for high-quality attention-free TTS)

ncnn benchmark on various single board computers

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소

A complete neural network built entirely in x86 assembly language that learns to recognize handwritten digits from the MNIST dataset. No frameworks, n...

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

summaries of all the papers I read

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfill

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

physics-informed neural network for elastodynamics problem

🚗 🏎️ 🎮 A browser-based isometric racing game built with a custom WebGL 1.x engine. Features real-time multiplayer with client-side prediction, spat...

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Confidence and Byt5 - based geotagging model predicting coordinates from text alone.

PaddlePaddle Fluid 版本系列教程，CSDN博客专栏：

compressing physics with neural networks

Deep Neural Networks Applied to Energy Disaggregation

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel...

Synchronize your subtitles using machine learning

Python package for missing-data imputation with deep learning

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a...

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Source codes for the book "Application of Neural Network and PyTorch"

My personal reference for Tensorflow

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Breast Cancer Classification using CNN and transfer learning

Identify faces from video and images using OpenCV and Deep Learning

Pointer Networks Implementation in Keras