NVlabs / condensa
Programmable Neural Network Compression
☆148Updated 2 years ago
Alternatives and similar repositories for condensa:
Users that are interested in condensa are comparing it to the libraries listed below
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Updated 2 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆166Updated 4 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 4 years ago
- A Re-implementation of Fixed-update Initialization☆152Updated 5 years ago
- ☆66Updated 5 years ago
- How and why you want to make your pytorch CUDA/CPP extension with a Makefile☆172Updated 5 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆31Updated 4 years ago
- ☆35Updated 4 years ago
- On Network Design Spaces for Visual Recognition☆94Updated 4 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- A general, modular, and programmable architecture search framework☆121Updated last year
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- CuPy fused PyTorch neural networks ops☆274Updated 6 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- A PyTorch implementation of NASBench☆52Updated last year
- Train ImageNet in 18 minutes on AWS☆127Updated 10 months ago
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆182Updated last year
- ☆213Updated 6 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 3 years ago
- Reference implementations of popular Binarized Neural Networks☆106Updated 3 weeks ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆166Updated 3 years ago
- ☆82Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 3 years ago
- PyTorch layer-by-layer model profiler☆606Updated 3 years ago
- an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors☆118Updated 3 weeks ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 5 years ago