7781 Open source projects that are alternatives of or similar to Pytorch_classification

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

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

Derin Öğrenme Tabanlı - seq2seq - Türkçe için kelime kökü bulma web uygulaması - Turkish Stemmer (tr_stemmer)

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

CNN for intent classification task in a Chatbot

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

PyTorch tutorial for learners

机器学习与深度学习算法示例

[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.

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

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

The deeplearning algorithms implemented by tensorflow

PyTorch Implementation of Deformable Convolution

YouTube Like Count Predictions using Machine Learning

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

InfiniteBoost: building infinite ensembles with gradient descent

A machine learning experiment

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

lidc nodule detection with CNN and LSTM network

Visualisations for Convolutional Neural Networks in Pytorch

Natural Language Processing with TensorFlow, published by Packt

Develop production ready deep learning code, deploy it and scale it

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

CNN image style transfer 🎨.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

用python做计算机视觉，人工智能，机器学习，深度学习等

Gluon to PyTorch deep neural network model converter

采用深度学习方法进行刀具识别。

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

A collection of deep learning models (PyTorch implemtation)

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

No description or website provided.

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Convolutional Neural Network for Human Activity Recognition in Tensorflow

A neural network that transforms a design mock-up into a static website.

A document covering machine learning basics. 🤖📊

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

PyTorch to Keras model convertor

Paper reading notes on Deep Learning and Machine Learning

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Regression, Scrapers, and Visualization

tensorflow implementation of Grad-CAM (CNN visualization)

simple tutorial on Machine Learning with Scikitlearn

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Machine Learning Lectures at the European Space Agency (ESA) in 2018