426 Open source projects that are alternatives of or similar to Deep Learning Notes

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

Deep learning applied to georeferenced datasets

Try to use tf.estimator and tf.data together to train a cnn model.

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

Deep Learning Toolkit for Medical Image Analysis

我大学两年来的笔记，希望对大家有些些帮助

PCN based on ncnn framework.

CNN, LSTM, NBOW, fasttext 中文文本分类

Tools to Design or Visualize Architecture of Neural Network

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

📘 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》，也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣，或者《Real-Time Rendering 4th》的前置阅读材料。

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Visualising predictions of deep neural networks

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Face Landmark Detector based on Mobilenet V1

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Datasets, tools, and benchmarks for representation learning of code.

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

Official Implementation of 'Fast AutoAugment' in PyTorch.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

cnn pruning with tensorflow.

FaceBoxes for hand detection in PyTorch

CNN for intent classification task in a Chatbot

Character-level Convolutional Networks for Text Classification论文仿真实现

🤖️image regression (base on convnetjs)

NN based lossless compression

基于深度学习识别12306验证码

My notes for AWS Solutions Architect Associate.

PyTorch tutorial for learners

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

reference tensorflow code for named entity tagging

Fever screening with IR & RGB cameras and Deep CNNs

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

keras theano 验证码破解 字母+数字

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

PyTorch tutorials A to Z

DLTK Model Zoo

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Sarcasm detection on tweets using neural network

MobileNet-v2 experimental network description for caffe

CNN for stock market prediction using raw data & candlestick graph.