5921 Open source projects that are alternatives of or similar to Book Resources

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

InferSent sentence embeddings

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

subpixel: A subpixel convnet for super resolution with Tensorflow

Materials for a short course on convex optimization.

Project which implements extraction of data from scatter plots

Coherent Semantic Attention for image inpainting(ICCV 2019)

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

python tutorial

Previous version of eeg-notebooks

What scientific programmers must know about CPUs and RAM to write fast code.

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

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

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

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.

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

SegNet model implemented using keras framework

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.

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）

Reference deployment of JupyterHub and nbgrader on a single server

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.

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）

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。

An automatic beatmap generator using Tensorflow / Deep Learning.

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

A Repository of Notebooks for the Python Lecture Site

InfiniteBoost: building infinite ensembles with gradient descent

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

코딩셰프의 3분 딥러닝, 케라스맛

Visualizations based on best open science practices.

Machine Learning for Finance, published by Packt

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

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

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

AI/ML citation graph with postgres + graphql

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

supercell

Project containig related material for my TensorFlow articles

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

Simple plotting library that wraps Matplotlib and integrated with DataFrames

A DCGAN that generate Cat pictures 🐱‍💻

Realistic Handwriting with Tensorflow

Tutorial: Web scraping in Python with Beautiful Soup

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

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

[ko] 패스트캠퍼스 강의 자료

Use the Mask RCNN for the human pose estimation

Deep learning system course

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

A python tutorial on bayesian modeling techniques (PyMC3)

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)