6191 Open source projects that are alternatives of or similar to Intrusion Detection System Using Deep Learning

a sklearn wrapper for Google's BERT model

CNN image classifier implemented in Keras Notebook 🖼️.

Object classification with CIFAR-10 using transfer learning

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

High Quality Monocular Depth Estimation via Transfer Learning

Neural Paiters

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

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

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Train a state-of-the-art yolov3 object detector from scratch!

1st place solution

Deep-learning seismic facies on state-of-the-art CNN architectures

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

kaggle Dog Breed Identification

Transfer Learning Library

Introduction to Deep Neural Networks with Keras and Tensorflow

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

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

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This Repository contains all tensorflow tutorials.

Applying NLP transfer learning techniques to predict Tweet stance

Building an image classifier using keras

Skin cancer classification using Inceptionv3

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Allstate Kaggle Competition ML Capstone Project

适合初级到中级晋升者，有了体系之后就看熟练度了。

📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

Machine learning projects, often on audio datasets

Numerical simulations using flexible Lattice Boltzmann solvers

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Building classifiers using cancer transcriptomes across 33 different cancer-types

statistics and classes for exploratory spatial data analysis

Computer Science SCHOOL resources

Compressed Sensing MRI based on Deep Generative Adversarial Network

A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.

BERT + Image Captioning

Old source for jakevdp.github.io. New source at http://github.com/jakevdp/jakevdp.github.io-source

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

Inference case studies in jupyter

My repository for the Carvana Image Masking Challenge

Kaggle Quora Questions Pairs Competition

Software for the visualization of sequence-function relationships

It is the DKT+ model implemented in python3 and tensorflow1.2

Python-based spatial data analysis and visualization of the GPS location data from my 2014 summer travels.

Tianchi medical AI competition [Season 1]: Lung nodules image segmentation of U-Net. U-Net训练基于卷积神经网络的肺结节分割器

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Microscopy Image Cytometry Toolkit

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

The art of using t-SNE for single-cell transcriptomics

Notebooks de análises e projetos de Data Science em Python