neural-network

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Pure Rust implementation of a minimal Generative Pretrained Transformer

tfts: Time Series Deep Learning Models in TensorFlow

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Dataflow compiler for QNN inference on FPGAs

Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

Deeplearning Algorithms Tutorial

Implementations of NeRF variants based on Taichi + PyTorch

The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automa...

SchNetPack - Deep Neural Networks for Atomistic Systems

Descriptive Deep Learning

Open deep learning compiler stack for Kendryte AI accelerators ✨

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Machine learning framework for both deep learning and traditional algorithms

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

者也 - 知乎 倒立的文字 汉字验证码识别程序

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

High-performance Vision library in Python. Scale your research, not boilerplate.

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

WTTE-RNN a framework for churn and time to event prediction

Introducing neural networks to predict stock prices

A simple library for creating complex neural networks

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc....

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Active learning for systematic reviews

A deep neural network that learns to drive in video games

NeuPy is a Tensorflow based python library for prototyping and building neural networks

TensorFlow and Deep Learning Tutorials

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

Deep learning with spiking neural networks (SNNs) in PyTorch.

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine lear...

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

Easily train or fine-tune SOTA computer vision models with one open source training library

A lightweight C library for artificial neural networks

BetaGo: AlphaGo for the masses, live on GitHub.

Multi-object trackers in Python

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Deep neural network framework for multi-label text classification

TensorFlow models accelerated with NVIDIA TensorRT

GoMLX: An Accelerated Machine Learning Framework For Go

This is a bunch of code to port Keras neural network model into pure C++.

A TensorFlow.js based AI player platform for T-Rex Runner. T-Rex Runner is originally an easter egg game inside chrome.

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

A collection of stand-alone Python machine learning recipes

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.