6014 Open source projects that are alternatives of or similar to Lucid

项目注释+论文复现+算法竞赛

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

Code to compute permutation and drop-column importances in Python scikit-learn models

Python Script to access ATT&CK content available in STIX via a public TAXII server

experiments with python

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Deep face recognition with Keras, Dlib and OpenCV

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

A one-stop repository for low-code easily-installable object detection pipelines.

interactive notebooks from Planet Engineering

Variational autoencoders for collaborative filtering

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Convolutional neural networks for artistic style transfer.

南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 🍚​

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

Code for the Deep Learning with PyTorch lesson

Auto-encoding & Generating 3D Point-Clouds.

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

Pelican plugin for blogging with Jupyter/IPython Notebooks

Repository for code used in my blog posts

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

Jupyter for Visual Studio Code

¡Camino a una educación autodidacta en Ciencia de Datos!

unet for image segmentation

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

Building a Bayesian deep learning classifier

Keras- Multi Label Image Classification

阿水的数据竞赛开源分支

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Tensor methods in Python with TensorLy

😺 Running Hashcat on Google Colab with session backup and restore.

ccf2016 sougou final winner solution

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

Pandas Cookbook, published by Packt

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

This is the code for "A Guide to Building Your First Decentralized Application" by Siraj Raval on Youtube

Awesome Artificial Intelligence Projects

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Multiple implementations for abstractive text summurization , using google colab

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A tutorial demonstrating how to implement deep learning models for time series forecasting

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Picture and specifications scraper

Real-time portrait segmentation for mobile devices

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Materials for DGL hands-on tutorial in WWW 2020