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2,996 search results found
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Screenshot To Code
A neural network that transforms a design mock-up into a static website.
A paper list of object detection using deep learning.
A MNIST-like fashion product database. Benchmark 👇
Awesome Deep Vision
A curated list of deep learning resources for computer vision
Best Practices, code samples, and documentation for Computer Vision.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Awesome Object Detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/1
Ai For Beginners
12 Weeks, 24 Lessons, AI for All!
Techniques for deep learning with satellite & aerial imagery
Learning Convolutional Neural Networks with Interactive Visualization.
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A collection of pre-trained, state-of-the-art models in the ONNX format
Hide screen when boss is approaching.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanod
Basic Machine Learning and Deep Learning
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Stanford Cs 230 Deep Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
unet for image segmentation
Tensorflow Project Template
A best practice for tensorflow project template architecture.
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
ResNeSt: Split-Attention Networks
PyTorch implementation of Super SloMo by Jiang et al.
Simple and comprehensive tutorials in TensorFlow
Deep Learning Papers Translation
Differentiable architecture search for convolutional and recurrent networks
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Self Driving Car
Udacity Self-Driving Car Engineer Nanodegree projects.
Deep Learning toolkit for Computer Vision.
MOT using deepsort and yolov3 with pytorch
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Awesome Graph Neural Networks
Paper Lists for Graph Neural Networks
Neural Photo Editor
A simple interface for editing natural photos with generative neural networks.
Turkce Yapay Zeka Kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
Datasets, tools, and benchmarks for representation learning of code.
TensorFlow template application for deep learning
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Reproducible Image Denoising State Of The Art
Collection of popular and reproducible image denoising works.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
🙄 Difficult algorithm, Simple code.
Image Deblurring using Generative Adversarial Networks
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥
Text Classification Algorithms: A Survey
Awesome Deep Learning Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Interactive convnet features visualization for Keras
Deep learning tutorials (2nd ed.)
ChainerCV: a Library for Deep Learning in Computer Vision
Top Deep Learning
Top 200 deep learning Github repositories sorted by the number of stars.
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Deep Learning in Haskell
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Coursera Deep Learning Specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Official Implementation of 'Fast AutoAugment' in PyTorch.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Twitter Sentiment Analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Dl Colab Notebooks
Try out deep learning models online on Google Colab
Topics Course on Deep Learning UC Berkeley
Deep Learning Toolkit for Medical Image Analysis
Image Quality Assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Dl 4 Tsc
Deep Learning for Time Series Classification
The deeplearning algorithms implemented by tensorflow
Deep Learning For Medical Applications
Deep Learning Papers on Medical Image Analysis
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Deep Learning With Pytorch Tutorials
[ICLR'23 Spotlight] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Age Gender Estimation
Keras implementation of a CNN network for age and gender estimation
A large-scale dataset of both raw MRI measurements and clinical MRI images.
One Pixel Attack Keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Machine Learning Curriculum
💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Head Pose Estimation
Head pose estimation by TensorFlow and OpenCV
Tools To Design Or Visualize Architecture Of Neural Network
Tools to Design or Visualize Architecture of Neural Network
Deep Learning Experiments
Videos, notes and experiments to understand deep learning
Graph Convolutional Networks for Text Classification. AAAI 2019
Rethinking Network Pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Five Video Classification Methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Header-only library for using Keras (TensorFlow) models in C++.
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
TensorFlow 101: Introduction to Deep Learning
Dl Workshop Series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Python2 Deep Learning (21,357)
Python3 Deep Learning (21,357)
Python Deep Learning (13,092)
Jupyter Deep Learning (10,328)
Ml Deep Learning (9,288)
Python Convolutional Neural Networks (6,973)
Deep Learning Pytorch (6,949)
Jupyter Notebook Deep Learning (6,566)
Deep Learning Tensorflow (6,001)
Deep Learning Neural Network (4,079)
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