horizon-research / Efficient-Deep-Learning-for-Point-CloudsLinks
☆49Updated 4 years ago
Alternatives and similar repositories for Efficient-Deep-Learning-for-Point-Clouds
Users that are interested in Efficient-Deep-Learning-for-Point-Clouds are comparing it to the libraries listed below
Sorting:
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆117Updated 2 weeks ago
- A general framework for optimizing DNN dataflow on systolic array☆38Updated 4 years ago
- Simulator for BitFusion☆102Updated 5 years ago
- ☆19Updated 4 years ago
- ☆29Updated 4 years ago
- ☆32Updated 4 years ago
- Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop☆58Updated 3 weeks ago
- Approximate layers - TensorFlow extension☆26Updated 6 months ago
- ☆71Updated 5 years ago
- ☆35Updated 5 years ago
- QuickEst repository: Quick Estimation of Quality of Results☆26Updated 7 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆15Updated 4 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…☆44Updated 3 months ago
- Tool for optimize CNN blocking☆93Updated 5 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- Training with Block Minifloat number representation☆16Updated 4 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆23Updated 5 years ago
- A Generic Distributed Auto-Tuning Infrastructure☆22Updated 4 years ago
- ☆10Updated 6 years ago
- [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs☆78Updated last year
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆86Updated 3 years ago
- Static Block Floating Point Quantization for CNN☆36Updated 4 years ago
- C++ RTL simulator for EIE(https://arxiv.org/abs/1602.01528)☆23Updated 4 years ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆25Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆42Updated 4 years ago
- [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design☆122Updated 2 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 9 months 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
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆25Updated 2 years ago
- An analytical framework that models hardware dataflow of tensor applications on spatial architectures using the relation-centric notation…☆87Updated last year