apple / ml-quantLinks
Research publication code for "Least Squares Binary Quantization of Neural Networks"
☆83Updated 2 years ago
Alternatives and similar repositories for ml-quant
Users that are interested in ml-quant are comparing it to the libraries listed below
Sorting:
- ☆57Updated 3 years ago
- Reference implementations of popular Binarized Neural Networks☆108Updated last month
- ☆19Updated 3 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago
- Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral☆61Updated last year
- Programmable Neural Network Compression☆148Updated 3 years ago
- PyTorch interface for the IPU☆180Updated last year
- Butterfly matrix multiplication in PyTorch☆174Updated last year
- ☆46Updated last year
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆157Updated 3 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- Export utility for unconstrained channel pruned models☆71Updated 2 years ago
- PyTorch model training and layer saturation monitor☆82Updated 2 years ago
- Customized matrix multiplication kernels☆56Updated 3 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆40Updated 4 years ago
- Factorized Neural Layers☆29Updated 2 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆324Updated 2 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- ☆76Updated 3 years ago
- ☆22Updated 7 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- A curated list of binary neural network research papers and software packages.☆27Updated 5 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆128Updated last year
- Utility to test the performance of CoreML models.☆70Updated 5 years ago
- ☆25Updated 4 years ago
- ☆109Updated 4 years ago