1367 Open source projects that are alternatives of or similar to Turkce Yapay Zeka Kaynaklari

A Computation Graph Virtual Machine Based Deep Learning Framework

😡😇 Stanford Sentiment Treebank loader in Python

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

ConText v4: Neural networks for text categorization

Combine Baidu Research warpctc with Caffe

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Beautiful visualizations of how language differs among document types.

MobileNet-v2 experimental network description for caffe

Python implementation of TextRank for phrase extraction and summarization of text documents

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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.

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

R interface to the keras library

The Pytorch Implementation of L-Softmax

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

This repository contains landmark research papers in Natural Language Processing that came out in this century.

Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Mining individual characters in multiparty dialogue

Unsupervised Data Augmentation (UDA)

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Knowledge Base Question Answering using memory networks

LexPredict ContraxSuite

Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Text Classification Algorithms: A Survey

Noise-Tolerant Paradigm for Training Face Recognition CNNs

A high-level machine learning and deep learning library for the PHP language.

A Neural Networking library based on NumPy only

Breast Cancer Classification using CNN and transfer learning

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

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

Deep Learning Benchmarking Suite

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Persian (Farsi) Stop Words List

A convolutional neural network for graph classification in PyTorch

Implementation of BERT in R

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Biologically-realistic recurrent convolutional neural networks

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Let your talking do the code

📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

lock mechanism with face recognition and liveness detection

Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)

Image Tampering Detection using ELA and CNN

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Python wraper for MetaMap

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."