6108 Open source projects that are alternatives of or similar to Nbval

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

ccf2016 sougou final winner solution

Deep face recognition with Keras, Dlib and OpenCV

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

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

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

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

身份证识别OCR

Awesome Artificial Intelligence Projects

interactive notebooks from Planet Engineering

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.

Python Examples for Remote Sensing

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

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... ...

Deep Learning Zero to All - Pytorch

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

Convolutional neural networks for artistic style transfer.

Using approximate bayesian posteriors in deep nets for active learning

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Code related to blog posts on my Medium page

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。

Reimplementation of DRAW

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

Code for the Deep Learning with PyTorch lesson

A collection of pre-trained, state-of-the-art models in the ONNX format

DeltaPy - Tabular Data Augmentation (by @firmai)

Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

파이썬을 활용한 데이터 분석과 이미지 처리 - 강의 자료 및 소스코드 Repository입니다.

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP

Repository for code used in my blog posts

项目注释+论文复现+算法竞赛

Code / solutions for Mathematics for Machine Learning (MML Book)

Teaching and Learning with Jupyter

Implementation of Neural Style Transfer in Pytorch

Repository for most of the code from my YouTube channel

A list of Machine Learning Art Colabs

用Python做些有趣的项目

categorical variational autoencoder using the Gumbel-Softmax estimator

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Speech Recognition with the Caffe deep learning framework, migrating to

unet for image segmentation

😌 Automatically detects and crops faces from batches of pictures.

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

Plain python implementations of basic machine learning algorithms

这是一个完整的，端到端的机器学习项目，非常适合有一定基础后拿来练习，以提高对完整机器学习项目的认识

CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

[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'.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Automatic headphone equalization from frequency responses

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Notebook example of how to generate class visualizations with Caffe