398 Open source projects that are alternatives of or similar to Places365

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

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

Deep learning applied to georeferenced datasets

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

MobileNet-v2 experimental network description for caffe

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

reference tensorflow code for named entity tagging

🏥 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

Visualising predictions of deep neural networks

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

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

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

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

Deep Learning Toolkit for Medical Image Analysis

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

PCN based on ncnn framework.

My CS231n lecture notes

Tools to Design or Visualize Architecture of Neural Network

CNN, LSTM, NBOW, fasttext 中文文本分类

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

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

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

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

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

PyTorch tutorial for learners

PyTorch tutorials A to Z

[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.

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

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

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

A End to End CNN Model which predicts the steering wheel angle based on the video/image

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

Face Landmark Detector based on Mobilenet V1

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

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

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

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)

🎨 🎨 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/

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

FaceBoxes for hand detection in PyTorch

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

Sarcasm detection on tweets using neural network

NN based lossless compression

CNN for intent classification task in a Chatbot

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

DLTK Model Zoo

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.

基于深度学习识别12306验证码

Fever screening with IR & RGB cameras and Deep CNNs

cnn pruning with tensorflow.

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

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

Deep Learning For Computer Vision With Python

🤖️image regression (base on convnetjs)

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

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