changwoolee / BLASTLinks
[NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference
☆16Updated last year
Alternatives and similar repositories for BLAST
Users that are interested in BLAST are comparing it to the libraries listed below
Sorting:
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 3 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Updated 10 months ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆89Updated 3 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated 2 years ago
- ☆19Updated 4 years ago
- Training with Block Minifloat number representation☆18Updated 4 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Updated 5 years ago
- An implementation of a BinaryConnect network for cifar10☆11Updated 6 years ago
- Adaptive floating-point based numerical format for resilient deep learning☆14Updated 3 years ago
- ☆17Updated 3 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Updated 3 years ago
- Static Block Floating Point Quantization for CNN☆37Updated 4 years ago
- Torch2Chip (MLSys, 2024)☆55Updated 8 months ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- A DAG processor and compiler for a tree-based spatial datapath.☆15Updated 3 years ago
- ☆49Updated 4 years ago
- ☆16Updated 4 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆27Updated 2 years ago
- Provides the code for the paper "EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators" by Luk…☆19Updated 6 years ago
- This is a general-purpose simulator for unary computing based on PyTorch, with the paper accepted to ISCA 2020 and awarded IEEE Micro Top…☆46Updated 4 months ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆13Updated last year
- A general framework for optimizing DNN dataflow on systolic array☆38Updated 4 years ago
- TQT's pytorch implementation.☆21Updated 4 years ago
- Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM☆54Updated 5 years ago
- [CVPR 2024] Official implementation for "A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network"☆24Updated 3 weeks ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆25Updated 3 years ago
- Approximate layers - TensorFlow extension☆26Updated 8 months ago