685 Open source projects that are alternatives of or similar to Ai_papers

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Open solution to the TGS Salt Identification Challenge

Implementation of Quickdraw - an online game developed by Google

Text Classification through CNN, RNN & HAN using Keras

A repository to curate and summarise research papers related to fashion and e-commerce

Deep Learning--深度学习

3D U-Net model for volumetric semantic segmentation written in pytorch

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

Wide Residual Networks (WideResNets) in PyTorch

DeepFaceLab is the leading software for creating deepfakes.

[UNMAINTAINED] Automated machine learning for analytics & production

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

A concise code for training and evaluating Unet using tensorflow+keras

NeuPy is a Tensorflow based python library for prototyping and building neural networks

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Deep learning for audio denoising

deeplearning.ai , By Andrew Ng, All video link

Kaggle Data Science Bowl 2018

深度学习笔记

A Caffe Re-Implementation of SENet

Visual Question Answering in Pytorch

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Speaker independent emotion recognition

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Detecting cinema shot types using a ResNet-50

深度学习入门教程, 优秀文章, Deep Learning Tutorial

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

OpenMMLab Image Classification Toolbox and Benchmark

A paper list of object detection using deep learning.

This repository contains the reference implementation for our proposed Convolutional CRFs.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

A Simply Example to show how to use Keras model in multiple processes to do the prediction

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Tree LSTM implementation in PyTorch

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

keras implementation of unet plus plus

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

Tutorials of deep learning for computer vision.

Implementation of GQN in PyTorch

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Deep learning codes and projects using Python

All For NLP, especially Chinese.

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

An Implementation of Fully Convolutional Networks in Tensorflow.

👋 ML/DL学习笔记（基础+论文）

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

learn code with tensorflow