6065 Open source projects that are alternatives of or similar to Coastsat

Github repo to upload demo files of youtube videos and linkedin

Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.

A (very incomplete) project that combines machine learning with music.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Data Cleaning Libraries with Python

2018-JDDC大赛第4名的解决方案

Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

Python library for reading and writing well data using Log ASCII Standard (LAS) files

Kernel Density Estimation in Python

This repository contains my python (3) script examples that focus on use cases for Network Engineers.

Building Machine Learning Projects with TensorFlow by Packt

我的强化学习笔记和学习材料📖 still updating ... ...

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Create delightful python projects using Jupyter Notebooks

declarative and reproducible Jupyter environments - powered by Nix

AIND Term 2 -- Lesson on Convolutional Neural Networks

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

my blog

Tutorial on normalizing flows.

Surrogate Modeling Toolbox

An implementation of "mixup: Beyond Empirical Risk Minimization"

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

🌮 Trash Annotations in Context Dataset Toolkit

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

How to use ELMo embeddings in Keras with Tensorflow Hub

A collection of resources for pandas (Python) and related subjects.

A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.

This course covers how you can use NLP to do stuff.

Approximating Wasserstein distances with PyTorch

TensorFlow JS models for MIRNet for low-light image enhancement.

朱小五写文章涉及到的数据分析，爬虫，源数据

Simple Encoder, Generator and Face Modificator with StyleGAN2

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Code To Accompany YouTube Series Imaginary Numbers Are Real

Estimates the size of a PyTorch model in memory

Documenting my python implementation of Andrew Ng's Machine Learning course

Sample implementation of Neural Ordinary Differential Equations

Explains nlp building blocks in a simple manner.

A minimal Jupyter Notebook theme

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

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

Structured Inference Networks for Nonlinear State Space Models

Beaker Extensions for Jupyter Notebook

Interactive JavaScript and TypeScript programming with Jupyter

Applying Data Science and Machine Learning to Solve Real World Business Problems

Python code for bayesian optimization using Gaussian processes

faiss wiki in chinese.

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

A collection of all my datasets

VPoser: Variational Human Pose Prior

Client side rendering of Jupyter notebooks

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf