910 Open source projects that are alternatives of or similar to kaggle

pytorch realtime multi person keypoint estimation

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

This project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.

Project for serving ML module. This is a gRPC micro-framework.

YOLO for object detection tasks

iOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage

CycleGAN based neural network architecture to change the gender of a person’s face

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Jupyter notebook series for machine learning and deep learning.

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Reading notes on deep learning papers---深度学习论文阅读笔记

3D scene graph generator implemented in Pytorch.

Collaboration platform for data science projects & Jupyter notebooks

ddos attack detector using ML Algorithms

Cut out objects and remove backgrounds from pictures with artificial intelligence

A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.

K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer

Rembg Video Virtual Green Screen Edition

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

COX Proportional risk model and survival analysis implemented by tensorflow.

Examples for usage of Mindsdb https://www.mindsdb.com/

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Deep leraning cryptocurrency prediction with blockchain-based dataset

This is a Chinese Character ocr system based on Deep learning (VGG like CNN neural net work),this rep include trainning set generating,image preprocesing,NN model optimizing based on Keras high level NN framwork

Code for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification

Kaggle Titanic example

🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

NLP framework in python for entity recognition and relationship extraction

An open-source Python package for making computer vision and image processing simpler

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

Recognition of Sign Language using Capsule Networks

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Source code for the ACL workshop paper and Kaggle competition by Google AI team

Simple solution for Open Images 2019 - Instance Segmentation competition using maskrcnn-benchmark.

My AI security testing projects

Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.

Train your own data with MatConvNet

Extensible Combinatorial Optimization Learning Environments

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

Implementation of key concepts of neuralnetwork via numpy

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Scaled-YOLOv4: Scaling Cross Stage Partial Network

No description or website provided.

A lightweight deep learning framework made with ❤️

A Python package for geometric transformations of images for data augmentation in deep learning

Luk.ai Clients - Federated Machine Learning for Everyone!

Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations

TT Hackathon 2018 - Autocomplete for Visual Programming Nodes

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin

Cheat Sheets for deep learning and machine learning.

My published benchmark for a Kaggle Simulations Competition

Gaussian Naive Bayes (GaussianNB) classifier

Kaggle Kernels (Python, R, Jupyter Notebooks)

Solution of the Titanic Kaggle competition