YixuanSeanZhou / Quantized_Neural_NetsLinks
Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zhou, and Rayan Saab (2022).
☆11Updated 2 years ago
Alternatives and similar repositories for Quantized_Neural_Nets
Users that are interested in Quantized_Neural_Nets are comparing it to the libraries listed below
Sorting:
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Updated 6 years ago
- ☆43Updated last year
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- ☆52Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆21Updated 5 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆73Updated 5 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated 3 weeks ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Updated 2 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Updated 5 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 6 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 6 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆19Updated 4 years ago
- Training with Block Minifloat number representation☆17Updated 4 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆43Updated 3 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆99Updated 6 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago