☆12Oct 9, 2023Updated 3 years ago
Alternatives and similar repositories for BESA
Users that are interested in BESA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2024] Search for Efficient LLMs☆16Jan 16, 2025Updated last year
- An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.☆25Aug 6, 2025Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆78Jan 6, 2024Updated 2 years ago
- ☆62Jun 10, 2024Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆27Apr 21, 2025Updated last year
- GRAIN: Gradient-based Intra-attention Pruning on Pre-trained Language Models☆18Jul 12, 2023Updated 3 years ago
- Official Pytorch Implementation of Paper "DarwinLM: Evolutionary Structured Pruning of Large Language Models"☆20Feb 21, 2025Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆100Nov 25, 2024Updated last year
- Are gradient information useful for pruning of LLMs?☆48Aug 23, 2025Updated last year
- Source code of ACL 2023 accepted paper "AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression"☆13Jun 14, 2023Updated 3 years ago
- ☆23Nov 26, 2024Updated last year
- CREST is a training-free test-time steering framework that discovers cognitive heads via simple offline calibration and then rotates acti…☆12Oct 22, 2026Updated last week
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆51Apr 9, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [USENIX ATC'25] GeneralSparse: Bridging the Gap in SpMM for Pruned Large Language Model Inference on GPUs☆14Feb 4, 2026Updated 8 months ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Apr 21, 2025Updated last year
- 关于AI,ML,DA,DV等的几个经典案例，包括堵车模拟(NagelSchreckenberg)、蒙特卡洛排队问题(Monte Carlo Queuing Problem)、人脸识别(RecognitionFace)、遗传算法推断图像(IconGenetic)☆10Oct 14, 2018Updated 8 years ago
- DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing (WACV 2025)☆13Feb 7, 2026Updated 8 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- [ICLR2026] Learnable Sparsity for Vision Generative Models☆14Mar 3, 2026Updated 7 months ago
- Code for Remember and Reuse: Cross-Task Blind Image Quality Assessment via Relevance-aware Incremental Learning (ACM Multimedia 2021)☆13Sep 16, 2021Updated 5 years ago
- ☆30Jul 22, 2024Updated 2 years ago
- Stacked Grouped Bar Chart built on D3.js☆10Jan 25, 2013Updated 13 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆30Dec 28, 2021Updated 4 years ago
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆24Mar 25, 2026Updated 7 months ago
- ☆21Nov 16, 2018Updated 7 years ago
- channel pruning for accelerating very deep neural networks☆13Mar 8, 2021Updated 5 years ago
- Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring official code☆11Jul 17, 2023Updated 3 years ago
- This is the official repo for "Differentiable Model Scaling using Differentiable Topk"☆12May 16, 2024Updated 2 years ago
- 一个简单跨平台的局域网P2P文件传输工具 A simple cross platform P2P file transfer tool over Ethernet☆16Jul 2, 2019Updated 7 years ago
- [ICML 2024]: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models☆11May 19, 2024Updated 2 years ago
- vortex particles for simulating smoke in 2d☆17Dec 13, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML 2024)☆32Apr 13, 2026Updated 6 months ago
- Towards Optimal Structured CNN Pruning via Generative Adversarial Learning☆18Mar 23, 2019Updated 7 years ago
- A Curated List of Resources for Diffusion LLMs☆14Oct 8, 2025Updated last year
- A curated list of Parameter Efficient Fine-tuning papers with a TL;DR☆13Sep 19, 2024Updated 2 years ago
- Coherence boosting: When your pretrained language model is not paying enough attention (ACL 2022) https://arxiv.org/abs/2110.08294☆15Apr 23, 2023Updated 3 years ago
- 中科大郑启龙2021年并行程序设计课程实验☆11Jan 15, 2022Updated 4 years ago
- A simple and effective LLM pruning approach.☆882Aug 9, 2024Updated 2 years ago