Awesome Artificial Intelligence Projects
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Laplace approximations for Deep Learning.
游戏捏脸,基于神经风格迁移框架生成逼真人脸
Implementing Recurrent Neural Network from Scratch
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Accurate Neural Network Potential on PyTorch
Omega-AI:基于java打造的深度学习框架,帮助你快速搭建神经网络,实现模型推理与训练,引擎支持自动求导,多线程与GPU运算,GPU支持CUDA,CUDNN。
Your no-nonsense guide to the Math used in Artificial Intelligence
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
Neural Network TensorFlow C API
INSTA - Instant Volumetric Head Avatars [CVPR2023]
Various Algorithms for Short Text Mining
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effectiv...
Deep Learning in C#
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
:robot: Roadmap to becoming a Machine Learning developer in 2020
A C++17 library to access the entire OpenAI API.
Code for our paper "Hamiltonian Neural Networks"
Arm Machine Learning tutorials and examples
A lightweight C++ machine learning library for embedded electronics and robotics.
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet,...
High-quality Neural Networks for Computer Vision 😎
A Machine Learning framework from scratch in Pure Mojo 🔥
Solve captcha without manually labeling a training set
C# Yolo Darknet Wrapper (real-time object detection)
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
The full collection of all codes for my Youtube Channel segregated as per topic.
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. R...
Deep Neural Network Library for JavaScript.
OCaml bindings for PyTorch
Contains Solutions to Deep Learning Specailization - Coursera
Text Classification Library in Keras
天池医疗AI大赛[第一季]:肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
A parallel framework for deep learning
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro...
Repository for the "Machine Learning for the Web" class at ITP, NYU
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Keras tutorial for beginners (using TF backend)
A flexible artificial neural network builder to analyse performance, and optimise the best model.
A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Parallel Hyperparameter Tuning in Python
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project pr...
A header-only C++ library for deep neural networks