TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was or...
TypeDB-ML is the Machine Learning integrations library for TypeDB
Laplace approximations for Deep Learning.
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Code for our paper "Hamiltonian Neural Networks"
Image Processing with Cellular Neural Networks in Python
Your no-nonsense guide to the Math used in Artificial Intelligence
This repository is for all those AI enthusiastics who actually loves to read books and learn.
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Arnold - DOOM Agent
Implementing Recurrent Neural Network from Scratch
A simple factor network implementation written by JavaScript
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation k...
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Awesome Artificial Intelligence Projects
Urban sound classification using Deep Learning
INSTA - Instant Volumetric Head Avatars [CVPR2023]
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effectiv...
Cryptocurrency Price Prediction Using LSTM neural network
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agraw...
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
游戏捏脸,基于神经风格迁移框架生成逼真人脸
Facilitating the design, comparison and sharing of deep text matching models.
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Contains Solutions to Deep Learning Specailization - Coursera
Arm Machine Learning tutorials and examples
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
A C++17 library to access the entire OpenAI API.
Efficient CPU/GPU ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet, ArtCNN and more!)
This repository contains all the deep learning projects done as tutorial
A parallel framework for deep learning
Deep Learning in C#
Various Algorithms for Short Text Mining
Neural Network TensorFlow C API
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
A lightweight C++ machine learning library for embedded electronics and robotics.
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet,...
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
:robot: Roadmap to becoming a Machine Learning developer in 2020
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project pr...
The full collection of all codes for my Youtube Channel segregated as per topic.
High-quality Neural Networks for Computer Vision 😎
天池医疗AI大赛[第一季]:肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
A Machine Learning framework from scratch in Pure Mojo 🔥
OCaml bindings for PyTorch
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.