horizon-research / Efficient-Deep-Learning-for-Point-CloudsLinks
☆46Updated 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:
- A general framework for optimizing DNN dataflow on systolic array☆36Updated 4 years ago
- ☆19Updated 4 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆108Updated last week
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆25Updated 2 years ago
- [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs☆75Updated 11 months ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 4 months ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- Training with Block Minifloat number representation☆14Updated 4 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago
- Simulator for BitFusion☆100Updated 4 years ago
- Provides the code for the paper "EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators" by Luk…☆19Updated 5 years ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Updated 2 years ago
- C++ RTL simulator for EIE(https://arxiv.org/abs/1602.01528)☆22Updated 4 years ago
- ☆34Updated 4 years ago
- Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop☆52Updated last month
- ☆26Updated 3 years ago
- ☆71Updated 5 years ago
- ☆33Updated 3 years ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆25Updated 2 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆15Updated 3 years ago
- ☆17Updated 3 years ago
- Configurable point cloud registration pipeline.☆97Updated 4 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago
- ☆19Updated 5 years ago
- A version of XRBench-MAESTRO used for MLSys 2023 publication☆23Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆15Updated 4 years ago
- Approximate layers - TensorFlow extension☆27Updated last month
- [NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Ha…☆11Updated 3 years ago