Running BERT without Padding
☆479Mar 18, 2022Updated 4 years ago
Alternatives and similar repositories for effective_transformer
Users that are interested in effective_transformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.☆1,545Jul 18, 2025Updated 8 months ago
- LightSeq: A High Performance Library for Sequence Processing and Generation☆3,300May 16, 2023Updated 2 years ago
- Transformer related optimization, including BERT, GPT☆6,412Mar 27, 2024Updated 2 years ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆479Mar 15, 2024Updated 2 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Feb 20, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL☆548Nov 18, 2020Updated 5 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆999Sep 19, 2024Updated last year
- Simple Dynamic Batching Inference☆145Mar 8, 2022Updated 4 years ago
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Jul 21, 2023Updated 2 years ago
- study of cutlass☆22Nov 10, 2024Updated last year
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,058Mar 12, 2026Updated last month
- Ongoing research training transformer models at scale☆15,985Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,997Updated this week
- A high performance and generic framework for distributed DNN training☆3,715Oct 3, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,269Updated this week
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆924Dec 30, 2024Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,632Jul 12, 2024Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 2024Updated last year
- A high-performance, extensible Python AOT compiler.☆449Sep 26, 2023Updated 2 years ago
- Fast and memory-efficient exact attention☆23,344Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,564Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of…☆328Mar 20, 2026Updated 3 weeks ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,872Updated this week
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,877Mar 25, 2026Updated 2 weeks ago
- A tensor-aware point-to-point communication primitive for machine learning☆286Dec 17, 2025Updated 3 months ago
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆14,779Aug 12, 2024Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆239Sep 24, 2023Updated 2 years ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,722Jun 25, 2024Updated last year
- Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.☆3,156Jan 22, 2024Updated 2 years ago
- A model compilation solution for various hardware☆469Aug 20, 2025Updated 7 months 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.
- FlashInfer: Kernel Library for LLM Serving☆5,372Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,078Apr 17, 2024Updated last year
- A primitive library for neural network☆1,368Nov 24, 2024Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,107Jun 30, 2025Updated 9 months ago
- ☆45Dec 16, 2019Updated 6 years ago
- DeepLearning Framework Performance Profiling Toolkit☆295Mar 28, 2022Updated 4 years ago
- A fast MoE impl for PyTorch☆1,847Feb 10, 2025Updated last year