Md Naquib Alam's repositories
M5_Forecasting_Accuracy_kaggle
It contains the code and data for M5 Forecasting - Accuracy competition on Kaggle.
LightGBM-and-Xgboost-advanced-examples
Contains the examples which covers how to incrementally train, how to implement learning_rate scheduler, and how to implement custom objective and evaluation function in case of lightgbm/xgboost models.
ASHRAE---Great-Energy-Predictor-III-Kaggle
This repo contains some basic kernels/codes from ASHRAE - Great Energy Predictor III hosted on Kaggle. It covers TS based EDA, feature engineering, modelling, and hyper-parameter tuning with Bayesian Optimisation.
Knowledge_distillation
This repo contains the contains the code for knowledge distillation
NLP-with-Disaster-Tweets-Kaggle
Contains the code for this competition, https://www.kaggle.com/c/nlp-getting-started/, hosted on Kaggle
Shopee---Price-Match-Guarantee-Kaggle
It contains a few useful notebooks from "Shopee - Price Match Guarantee" competition hosted on kaggle. It covers topics ranging from EDA, Efficientnet for image embeddings, ArcFace loss for metric learning, LR scheduler, etc.
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
Categorical_Encoding_Experimentation
This repo contains code for experimenting with categorical encoding - WoE, Catboost, Target encoder, and many more.
Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
DeepLearningExamples
Deep Learning Examples
dhs_summit_2019_image_captioning
Image captioning using attention models
Image-Captioning
Contains code for Image Captioning personal project
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
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.
Langchain_projects
This contains a detailed notebook on Langchain fundamentals and various projects using Langchain.
LightGBM_MultilabelClassification_TCC
This repo contains the code of how multilabel classification can be used with LightGBM or in general.
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
overhaul-distillation
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
TimeSeriesData_With_Xgboost_and_similar_models_and_CV_for_TS
Explores how XgBoost and similar models can be used with time series and how CV can be used for hyper-parameter tuning for such models with TS data.
voila_heroku_demo
This repo contains a basic demo for creating a web app with Voila and Heroku so that it can be shared with anyone.