5963 Open source projects that are alternatives of or similar to Data Science Bowl 2018

Pytorch starter kit for Kaggle competitions

Kaggle Segmentation Challenge

Solution to Kaggle - Web Traffic Time Series Forecasting

Sample notebooks for Kaggle competitions

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A community run, 5-day PyTorch Deep Learning Bootcamp

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

阿水的数据竞赛开源分支

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

My kaggle competition solution and notebook

📢 Ready to learn or review your knowledge!

Data analysis and visualizations of daily COVID cases report

PyTorch Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Companion webpage to the book "Mathematics For Machine Learning"

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Demo images for use in try.jupyter.org and tmpnb.org

Toxic Comment Classification Challenge, 12th place solution https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge

Scikit-learn compatible Locality Preserving Projections in Python

Image retrieval system demo based on caffe and lsh

Implementation of the Sliced Wasserstein Autoencoders

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Code samples and documentation for SmartNoise differential privacy tools

An (old) and unstructured (messy tbh) collection of programming exercises.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Open Knowledge Labs website (and general issue tracker).

Natural Language Processing Tutorial for Deep Learning Researchers

Tensorflow example of a conv GAN on MNIST.

GSLIB fortran code wrapped into python

Deep Learning for Pugs

Code and write-up for the Kaggle Toxic Comment Classification Challenge

some machine learning examples

Keras implementation of a CNN network for age and gender estimation

A set of simple examples ported from PyTorch for Tensorflow Eager Execution

Lightweight implementation of neural style in Pytorch with SqueezeNet

Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".

A walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow

PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.

This is the notebook associated with the blog post:

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Multi-GPU data-parallel training in Keras

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

Experiments in positive-unlabeled learning

Códigos e materiais sobre TensorFlow em Português

Test genes for Spatial Variation

Machine Learning with sklearn tutorials (for Pearson)

This repository contains training material related to Azure and Machine Learning

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.

第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline

This is the code for "C Programming for Machine Learning" By Siraj Raval on Youtube

AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos. ECCV'18.

This is the source code for the animations in the series "Visualizing Deep Learning"

Custom classification algorithm to sense the bots vs human on social media space like twitter