Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Build neural networks based only on Numpy
Simulations for the Computational Cognitive Neuroscience textbook
A single / multi layer / recurrent neural network written in Golang.
A multi-layer neural network in PHP. Features momentum learning, custom activation functions, and detection & prevention of over-fitting your data.
An MDN Layer for Keras using TensorFlow's distributions module
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
A complete neural network built entirely in x86 assembly language that learns to recognize handwritten digits from the MNIST dataset. No frameworks, n...
Evolving squids through neuroevolution
Reliability diagrams visualize whether a classifier model needs calibration
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Tensorflow implementation of fast neural style transfer.
作業分享:台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style image...
Deep Learning - one shot learning for speaker recognition using Filter Banks
An implementation of Conditional Random Fields (CRFs) with Deep Learning Method
Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]
Generate monophonic melodies with machine learning using a basic LSTM RNN
Restricted Boltzmann Machines (RBMs) in PyTorch
Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.0141...
List of interesting articles on different topics of machine learning and deep learning
📖 In Russian: cписок русскоязычных публикаций matyushkin и блокноты Jupyter для различных образовательных ресурсов.
👷♂️ A simple package for extracting useful features from character objects 👷♀️
ncnn benchmark on various single board computers
Technical blog repo of metaflow
Neural word segmentation with rich pretraining, code for ACL 2017 paper
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Neural HMMs are all you need (for high-quality attention-free TTS)
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
🚗 🏎️ 🎮 A browser-based isometric racing game built with a custom WebGL 1.x engine. Features real-time multiplayer with client-side prediction, spat...
physics-informed neural network for elastodynamics problem
Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfill
N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images
compressing physics with neural networks
Deep Neural Networks Applied to Energy Disaggregation
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
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
Hum2Song: Multi-track Polyphonic Music Generation from Voice Melody Transcription with Neural Networks
Confidence and Byt5 - based geotagging model predicting coordinates from text alone.
A book on the mathematical foundations of AI from an engineering perspective.
CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel...
Python package for missing-data imputation with deep learning
Popular collection of practical Python notebooks for machine learning, deep learning, time series, generative AI, and analytics.
A header-only neural network library for microcontrollers, with partial bare-metal & native-os support.