6056 Open source projects that are alternatives of or similar to Soft Nms

A couple of simple GANs in Keras

Bayesian Deep Learning Benchmarks

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OpenMMLab Pose Estimation Toolbox and Benchmark.

Pangeo website + discussion of general issues related to the project.

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Two-stage CenterNet

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

Practical Examples for RNNs in Tensorflow

Environment for reinforcement-learning algorithmic trading models

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

Machine Learning toolbox for Humans

Code for some of my tutorials

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

📔 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

a tensorflow implementation of WGAN

Apache Airflow tutorial

Use evolutionary algorithms instead of gridsearch in scikit-learn

Feature Pyramid Networks for Object Detection

数据科学的笔记以及资料搜集

Some ipython notebooks implementing AI algorithms

Learn how to responsibly deliver value with ML.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

Deep Learning Specialization by Andrew Ng on Coursera.

Code samples for AI fundamentals

Code repository for O'Reilly book

北邮《Python编程与实践》课程资料

Reference deployment of JupyterHub with docker

Repository containing notebooks of my posts on Medium

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

BERT score for text generation

What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.

Brushing and linking for big data

Utility functions for handling MIDI data in a nice/intuitive way.

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

A course in reinforcement learning in the wild

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Image augmentation library in Python for machine learning.

Temporary home for fastai v2 while it's being developed

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Hands-On Machine Learning for Algorithmic Trading, published by Packt

GNU Radio decoders for several Amateur satellites

Keras documentation, hosted live at keras.io

Ways of doing Data Science Engineering and Machine Learning in R and Python

台湾大学李宏毅老师机器学习

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A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Visual Question Answering in Pytorch

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