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

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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

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

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

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

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

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.

Coherent Semantic Attention for image inpainting(ICCV 2019)

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

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

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

SegNet model implemented using keras framework

Code for a workshop on statistical interference using computational methods in Python.

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）

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

Reference deployment of JupyterHub and nbgrader on a single server

This is Andrew NG Coursera Handwritten Notes.

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

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。

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

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

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

InfiniteBoost: building infinite ensembles with gradient descent

A Repository of Notebooks for the Python Lecture Site

코딩셰프의 3분 딥러닝, 케라스맛

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.

Machine Learning for Finance, published by Packt

Visualizations based on best open science practices.

1st place solution for the Kuaishou Active-user Forecast competition

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

AI/ML citation graph with postgres + graphql

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

supercell

Jupyter notebook for Udemy course: Python data science and machine learning bootcamp

Project containig related material for my TensorFlow articles

A DCGAN that generate Cat pictures 🐱‍💻

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

Realistic Handwriting with Tensorflow

Example code from the book "Deep Learning for the Life Sciences"

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

从零基础开始机器学习之旅

Use the Mask RCNN for the human pose estimation

Python Bootcamp docs and lectures (UC Berkeley)

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Code for my medium article

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

First project for CVND: facial keypoint detection.