6252 Open source projects that are alternatives of or similar to 3d Mri Brain Tumor Segmentation Using Autoencoder Regularization

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Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

复杂网络研究资源整理和基础知识学习

COMS W4995 Applied Machine Learning - Spring 20

Home for Elasticsearch examples available to everyone. It's a great way to get started.

努力成为一名合格有水平的AI算法工程师

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Deploy AutoML as a service using Flask

北京邮电大学“网络搜索原理”课程资料(2019)

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Progressive training of GANs with Mutual Information Penalty

a sklearn wrapper for Google's BERT model

Deep Reinforcement Learning for de-novo Drug Design

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

A practical feature engineering handbook

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Symbolic Music Genre Transfer with CycleGAN

InferSent sentence embeddings

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

subpixel: A subpixel convnet for super resolution with Tensorflow

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Project which implements extraction of data from scatter plots

Materials for a short course on convex optimization.

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

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Previous version of eeg-notebooks

python tutorial

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Juliabox continues to run, but this codebase is no longer current.

Run any standard Python code quality tool on a Jupyter Notebook

👋 👌 research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs

Graph Convolution Network for NLP

Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛：Mask R-CNN肺部结节智能检测（Segmentation + Classification）

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

This is Andrew NG Coursera Handwritten Notes.

just some code snippet

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

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Deep learning for MIR

An electronic simulation library written in pure Python

Official Python SDK for Hyperdash

Fast and memory-efficient clustering

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"