5921 Open source projects that are alternatives of or similar to Deeplearning

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

This is an LSTM stock prediction using Tensorflow with Keras on top.

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

北京邮电大学“网络搜索原理”课程资料(2019)

Open Source Landmarking Library

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Progressive training of GANs with Mutual Information Penalty

Traffic Graph Convolutional Recurrent Neural Network

a sklearn wrapper for Google's BERT model

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

Various examples for Google Earth Engine in Python using Jupyter Notebook

A practical feature engineering handbook

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

An automatic beatmap generator using Tensorflow / Deep Learning.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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

InferSent sentence embeddings

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

subpixel: A subpixel convnet for super resolution with Tensorflow

Various Notebooks for Lernapparat.de

Project which implements extraction of data from scatter plots

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

Previous version of eeg-notebooks

Respository for Open-Science modular microscope system.

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

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.

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

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

SegNet model implemented using keras framework

Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask

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）

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

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

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

This is Andrew NG Coursera Handwritten Notes.

Materials for a short course on convex optimization.

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。

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

python tutorial

InfiniteBoost: building infinite ensembles with gradient descent

The BlazeFace face detector model implemented in PyTorch

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Machine Learning and Deep Learning Resources

Exploration of methods for coloring t-SNE.

Jupyter notebooks associated with the Algorithms for Optimization textbook

CNN image style transfer 🎨.

Graph Convolution Network for NLP

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.