Transformers with Arbitrarily Large Context
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Updated
Jul 13, 2024 - Python
Transformers with Arbitrarily Large Context
Lowering PyTorch's Memory Consumption for Selective Differentiation
The official implementation of "CAME: Confidence-guided Adaptive Memory Optimization"
Memory-effficient immutable collection types for Kotlin
Efficiently handle JSON array files in Node.js with minimal memory usage. Perfect for efficiently processing large data volumes without worrying about memory limitations
This is a simple library that tries to memory efficiently provide a `IndexMap` like functionality, that might have a large number of data with string keys, using vecs
Official PyTorch implementation of the CVPRW 2023 paper
Fast and memory-efficient immutable collections and helper data structures
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
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.
Efficient library for managing 2D static and procedural grids in games.
Fastest and most memory efficient golang concurrent hashmap
Professional backend framework for Node.js
Platform-independent space-efficient tagged pointers in Rust
A thread-safe queue faster and more resource efficient than golang's native channels
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022
The official implementation of MeDQN algorithm.
An early-stage PHP parser designed for IDE usage scenarios.
nanoexpress for enterprise users & teams
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