neural-network
Repositories (1342)
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
A-Paper-A-Week
Machine Learning Open Source University
A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints...
Pure Rust implementation of a minimal Generative Pretrained Transformer
SchNetPack - Deep Neural Networks for Atomistic Systems
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
Data compression in TensorFlow
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automa...
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
All the slides, accompanying code and exercises all stored in this repo. 🎈
Fast and accurate object detection with end-to-end GPU optimization
Open deep learning compiler stack for Kendryte AI accelerators ✨
Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
tfts: Time Series Deep Learning Models in TensorFlow
DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
Epsilla is a high performance Vector Database Management System
Deeplearning Algorithms Tutorial
Implementations of NeRF variants based on Taichi + PyTorch
Descriptive Deep Learning
😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数...
Graphics Processing Units Molecular Dynamics
A very simple CNN project to recognize gestures made in American Sign Language
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
High-performance Vision library in Python. Scale your research, not boilerplate.
Deep learning with spiking neural networks (SNNs) in PyTorch.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Machine learning framework for both deep learning and traditional algorithms
者也 - 知乎 倒立的文字 汉字验证码识别程序
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc....
Introducing neural networks to predict stock prices
A deep neural network that learns to drive in video games
WTTE-RNN a framework for churn and time to event prediction
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in...
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)
A simple library for creating complex neural networks
A lightweight C library for artificial neural networks
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
TensorFlow and Deep Learning Tutorials
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculat...
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries