A DataLoader for Clojure/script

[Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.

Sample build scripts and mapping files for the dataloader tutorial.

[CVPR 2025] Official Dataloader and Evaluation Scripts for VideoAutoBench.

A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

Salesforce Dataloader PowerShell script that automate data loading into Salesforce apps.

[CVPR 2025] Official Dataloader and Evaluation Scripts for VideoAutoArena.

Basic CORAL import/dataloader scripts for generic and custom publishers

Pipeline for running all dataloader scripts for covidgraph in a controlled manner.

tools & scripts to get Neo-echoset running quickly + dataloaders for pytorch

dataloader.sh is a script tool based on Apache Ant, similar to Salesforce dataloader.

详解pytorch中dataloader的运作和改进的方法

install DataLoader script for mac os

Condensed script for initializing irrigation detection dataloader and Transformer-based classifier network

This Repo provides a script to process WikiArt Dataset,including a simple Dataloader.

A small shell script to launch the dataloader from the command line. Linux-compatible.

PyTorch-based data loader and preprocessing script for brain tumor MRI classification. Supports GPU/CPU setup, image normalization, and batching with DataLoader.

No description available

R script to load the data from the GDC website using TCGAbiolinks for TCGA data

PyTorch dataloaders and preprocessing scripts for my dataset.

Script to call salesforce dataloader batch for Windows

A script to build queries for Salesforce Dataloader

An initial setup for the dataloader cli to help with scripting exports

Creacion de scripts para generar registros aleatorios y simular una carga en Salesforce con Dataloader

A serials of python script for clony counter dataset which includes image transform, dataloader & data visuable

An add-on shell script which enables the command line dataloader to use multiple files in one go.

Implementation playground for concepts around deep learning and AI, mirroring a typical development setup consisting of dataloaders, training-/evaluation-scripts and storing results in an experiment tracking tool (wandb).

Deep learning project to classify music genres using the FMA dataset. It includes data preprocessing (Mel-spectrogram generation), a PyTorch Dataset and DataLoader, a baseline CNN model, training and evaluation scripts, and reproducible experiments.

Repository for classifying five types of flowers (daisy, dandelion, rose, sunflower, tulip) using PyTorch and the “Flowers Recognition” dataset from Kaggle. It includes the complete training script with transforms, DataLoader, CNN, and saving of the trained model.

This project implements custom GPT-2 training and evaluation with a C++ optimized data loader (DataLoader.cpp) and Python bindings (binding_setup.py). Scripts like gpt2_train.py, gpt2_eval.py, and fineweb.py support model training, evaluation, and FineWeb dataset integration.