Popular GitHub Repositories for Split

ResNeSt: Split-Attention Networks

A unified framework for privacy-preserving data analysis and machine learning

Automatically split your PyTorch models on multiple GPUs for training & inference

Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

? GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

Privacy Preserving Vertical Federated Learning

?FFPA: Extend FA-2 with Split-D for large headdim, 2x↑ vs SDPA.

?FFPA(Split-D): Yet another Faster Flash Prefill Attention with O(1) GPU SRAM complexity for headdim > 256, ~2x↑?vs SDPA EA.

Split a single, monolithic mp3 audiobook file into chapters using Machine Learning and ffmpeg.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

✨ Split text by languages (e.g. 你喜欢看アニメ吗 -> 你喜欢看 | アニメ | 吗) for NLP tasks (e.g. parse, TTS). Powered by fasttext and budoux

[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time

β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification

A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.

Official code of "Channel Split Convolutional Neural Network (ChaSNet) for Thermal ImageSuper-Resolution"

Official Repository for ResSFL (accepted by CVPR '22)

Call another MCP client from your MCP client. Offload context windows, delegate tasks, split between models

Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch