yiweifengyan / Papers-on-Ternary-and-Binary-Networks
Papers and codes about Quantized Networks for easier survey and reference.
☆17Updated 3 years ago
Alternatives and similar repositories for Papers-on-Ternary-and-Binary-Networks:
Users that are interested in Papers-on-Ternary-and-Binary-Networks are comparing it to the libraries listed below
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆17Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆57Updated 4 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆103Updated last year
- ☆47Updated 2 years ago
- Reproducing Quantization paper PACT☆59Updated 2 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 4 years ago
- ☆20Updated 2 years ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- Post-training sparsity-aware quantization☆34Updated last year
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆79Updated 2 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆30Updated 10 months ago
- This is an implementation of YOLO using LSQ network quantization method.☆22Updated 2 years ago
- ☆74Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆127Updated 4 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆38Updated 4 years ago
- Ternary Weights and Activations☆24Updated 6 years ago
- A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networks☆38Updated this week
- A collection of research papers on efficient training of DNNs☆69Updated 2 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 8 months ago
- ☆19Updated 3 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- ☆38Updated 2 years ago
- ☆15Updated 4 years ago
- DAC System Design Contest 2020☆29Updated 4 years ago
- ☆17Updated 2 years ago
- ☆15Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- Efficient GPU kernels for mixed-precision Vision Transformers in Triton☆11Updated 6 months ago