262 Open source projects that are alternatives of or similar to google-retrieval-challenge-2019-fastai-starter

Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Kaggle Titanic example

ml & dl & kaggle

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Deploy your Flask web app classifier on Heroku which is written using fastai library.

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

Fielded Sequential Dependence Model (code and runs)

Fast k-Nearest Neighbors Classifier for Large Datasets

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

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

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Cottontail DB is a column store aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Personalized Medicine: Redefining Cancer Treatment with deep learning

Kaggle 2018 @ Human Protein Atlas Image Classification

digging the endless treasures of fastai

Genre Classification using Convolutional Neural Networks

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Deploy fastai models with Docker

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

🦅 Deep Learning awesome cheatsheet

Some tools that I often find myself using in Kaggle challenges.

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

Story-Based Retrieval with Contextual Embeddings. Largest freely available movie video dataset. [ACCV'20]

Open solution to the Airbus Ship Detection Challenge

Audio Synchronization and Analysis Tool

19th place solution in "Predicting Molecular Properties"

Solution of the Titanic Kaggle competition

Kaggle getting started competition examples

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Saliency Weighted Convolutional Features for Instance Search

NOAA Fisheries Steller Sea Lion Population Count

My published benchmark for a Kaggle Simulations Competition

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Extract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.

Kaggle competition

A fastai/PyTorch package for unpaired image-to-image translation.

Kaggle solutions

Paraphrase question identification using Feature Fusion Network (FFN).

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

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

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Satellite Imagery Feature Detection (68 out of 419)

An Unsupervised Distance Learning Framework for Multimedia Retrieval

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.

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)

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

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

Team GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch.

Network Intrusion Detection System using Deep Learning Techniques

A experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle

No description or website provided.

Notebooks for Fastai Viusal Guide

The Java implementation of Dive into Deep Learning (D2L.ai)

Spark 2.0 Scala Machine Learning examples

Kaggle을 처음 접하는 사람들을 위한 문서

Facial Expression Recognition