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ikegami-yukino
madoka

Memory-efficient Count-Min Sketch Counter (based on Madoka C++ library)

156K 27 3
yangluo7
came-pytorch

[ACL 2023] The official implementation of "CAME: Confidence-guided Adaptive Memory Optimization"

28K 98 9
Koratahiu
adv-optm

A family of highly efficient, lightweight yet powerful optimizers.

24K 24 2
zhuhanqing
apollo-torch

APOLLO: SGD-like Memory, AdamW-level Performance; MLSys'25 Oustanding Paper Honorable Mention

4K 345 18
andrey-savov
savov-compact-tree

Compact, read-only nested dictionary backed by a DAWG-style radix trie

2K 0 0
parashardhapola
scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

2K 115 15
BennyThadikaran
fast-csv-loader

A fast and memory efficient way to load large CSV files (Timeseries data) into Pandas

2K 9 2
lucidrains
memory-efficient-attention-pytorch

Memory Efficient Attention - Pytorch

2K 390 37
forhaoliu
ringattention

RingAttention for Transformers with Arbitrarily Large Context.

491 770 52
jagmarques
nexusquant-kv

Training-free KV cache compression for LLMs. 10-33x compression via E8 lattice quantization + attention-aware token eviction. One line of code.

476 13 0
luiz826
diet-pandas

Automated memory optimization for Pandas DataFrames. Reduces memory by 50-80% and loads CSV 5-10x faster. Drop-in replacement that returns standard DataFrames - works with sklearn, matplotlib, and all your favorite libraries. Safe, fast, and zero refactoring required.

394 3 0
DAMO-NLP-SG
inf-cl

[CVPR 2025 Highlight] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme.

266 284 12
csukuangfj
optimized-transducer

Memory efficient transducer loss computation

175 70 11
ikegami-yukino
morris-counter

Memory-efficient probabilistic counter namely Morris Counter

32 5 2
parashardhapola
scarf-toolkit

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

8 115 15
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