760 Open source projects that are alternatives of or similar to Asr_syllable

用 Tensorflow.js 猜猜我的女朋友在想什么. A Tensorflow.js application for facial classification.

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

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

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

PyTorch tutorial for learners

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

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

A Unified Convolutional Neural Network Approach of Gesture Recognition and Fingertip Detection.

A memory-efficient implementation of DenseNets

An open source library for face detection in images. The face detection speed can reach 1000FPS.

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%。

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

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

BertQA - Attention on Steroids

Deep learning applied to georeferenced datasets

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

document classification using LSTM + self attention

Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**

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

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

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

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

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

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

PyTorch tutorials A to Z

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

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

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

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Multi-turn dialogue baselines written in PyTorch

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

Deep Learning--深度学习

Deep Learning Toolkit for Medical Image Analysis

PyTorch Implementations for End-to-End Automatic Speech Recognition

A Tensorfflow implementation of Attend, Infer, Repeat

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

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

Deep Learning For Computer Vision With Python

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

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

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

My Attempt(s) In The World Of ML/DL....

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

PyTorch implementation of SIFT descriptor

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

Pronunciation lexicon covering both English and Chinese languages for Automatic Speech Recognition.

PCN based on ncnn framework.

Speech Recognition model based off of FAIR research paper built using Pytorch.

DELTA is a deep learning based natural language and speech processing platform.

🎨 🎨 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/

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

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

My CS231n lecture notes