SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
Distributed training (multi-node) of a Transformer model
🎯 Gradient Accumulation for TensorFlow 2
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
Gradient accumulation on tf.estimator
🎯 Production-ready implementation of video prediction models using PyTorch. Features Enhanced ConvLSTM with temporal attention, PredRNN with spatiotemporal memory, and Transformer-based architecture.
A simple implementation of Multi-passage BERT
tensorflow2-keras gradient accumulation
This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.
Corso web gratuito in italiano, con repository open source, per costruire da zero un modello GPT decoder-only in PyTorch in 42 lezioni con spiegazioni, matematica, codice eseguibile e snapshot progressivi.
Minimal PyTorch training framework — implement three methods, get a full training loop: composable phases, checkpointing, early stopping, metrics, and a live web dashboard.
Gradient Accumulation with Tensorflow2.x
Comprehensive PyTorch Lightning framework featuring 20+ educational notebooks, advanced ML patterns, and production-ready workflows. Covers vision, NLP, tabular, and time series domains with distributed training, mixed precision, custom loops, and deployment pipelines. Complete with synthetic data generators and testing.
AlzMRI-Net: Classify Alzheimer's stages from MRI scans.
Research code implementing the "Attention Is All You Need" architecture. Engineers a stable training loop for a 163M LLM using reduced-precision techniques on free-tier compute.
Implementation of Gradient Accumulation for low-memory language modelling transformer fine tuning.
Classifying images of flowers into 17 categories using EfficientNet-B0 and PyTorch.
A lightweight PyTorch library for verifying training parity across resume, gradient accumulation, and sample coverage, with first-divergence localization.
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