yuv4r4j Goto Github PK

kaggle-siim-ptx

8th place solution for SIIM-ACR Pneumothorax Segmentation competition on Kaggle

kaggle-understanding-clouds

Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.

kaggle_2018_data_science_bowl_solution

4th place solution for 2018 Data Science Bowl kaggle competition

kaggle_carvana_segmentation

Code for a 1st place model in Carvana Image Masking Challenge

kaggle_contrails

Solution to the Google Research - Identify Contrails to Reduce Global Warming Competition

kaggle_dstl_submission

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

kaggle_g2net

G2Net Competition

kaggle_leaf_disease_classification

Cassava leaf disease classification with CNNs and Vision Transformers (top-1% solution)

kaggle_practice

kaggle_salt_bes_phalanx

Kaggle Salt b.e.s. & phalanx

kaggle_santander_2019

kaggle_trackml

Code for the TrackML competition on Kaggle

kaggledays-2019-gbdt

Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop

kerosene

some batteries for PyTorch

knockknock

🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code

landmark2019-1st-and-3rd-place-solution

The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightgbm-with-focal-loss

An implementation of the focal loss to be used with LightGBM

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

lime

Lime: Explaining the predictions of any machine learning classifier

lime-experiments

Code for all experiments.

literaturedl4graph

lod2021

PyTorch Tutorial at the LOD2021 conference

loss-landscape

Code for visualizing the loss landscape of neural nets

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

lyft-perception-challenge

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

machine-learning

Code and reports from my machine learning classes at USFCA