466 Open source projects that are alternatives of or similar to Pwc Net_pytorch

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

基于深度学习识别12306验证码

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

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

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

CNN for intent classification task in a Chatbot

reference tensorflow code for named entity tagging

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

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

PyTorch tutorials A to Z

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

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

DLTK Model Zoo

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

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

Deep Learning Toolkit for Medical Image Analysis

MobileNet-v2 experimental network description for caffe

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

PCN based on ncnn framework.

CNN, LSTM, NBOW, fasttext 中文文本分类

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

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

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

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

Sarcasm detection on tweets using 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].

The Places365-CNNs for Scene Classification

Visualising predictions of deep neural networks

cnn pruning with tensorflow.

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

My CS231n lecture notes

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

PyTorch tutorial for learners

The py version of toflow → https://github.com/anchen1011/toflow

The deeplearning algorithms implemented by tensorflow

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

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

🤖️image regression (base on convnetjs)

[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.

🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

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

Face Landmark Detector based on Mobilenet V1

🎨 🎨 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

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

Tools to Design or Visualize Architecture of Neural Network

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

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

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)

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

NN based lossless compression