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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ar-face_based

Face based Augmented Reality analysis

arfacetracking

iOS AR. A simple AR face tracking app that you can download and play around with to further your understanding of face tracking with ARKit.

augmented_reality_101

Introduction to Augmented Reality (AR) with Python 3 and OpenCV 4.2.

awesome-arkit

A curated list of awesome ARKit projects and resources. Feel free to contribute!

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-gan-papers

papers and codes about GAN

awesome-gesture-recognition

resources about Gesture Recognition

awesome-model-compression

papers about model compression

cfc

Closed-form Continuous-time Neural Networks

code_snippets

computer-vision-projects-with-pytorch

Source Code for "Computer Vision Projects with PyTorch" by Akshay Kulkarni, Adarsha Shivananda, and Nitin Ranjan Sharma

cvprojects

computer vision projects | 计算机视觉相关好玩的AI项目

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning101

Code about DeepLearning101 Book

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl-illustrated

doop-learning-with-projects

파이토치 입러닝 프로젝트 모음집 예제

facenet-pytorch-glint360k

A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

google-mediapipe

Google MediaPipe Face + Hands + Body + Object

hello-generative-model

PyTorch를 활용한 Generative Model 입문 CAMP (실습자료)

helloworld

HelloWorld Test

learnml

Code to write down while learning Machine Learning

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

matlab-gan

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.