AlirezaAzadbakht / kernel-sharing
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
☆12Updated last year
Alternatives and similar repositories for kernel-sharing:
Users that are interested in kernel-sharing are comparing it to the libraries listed below
- CHAI is a library for dynamic pruning of attention heads for efficient LLM inference.☆11Updated last month
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Benchmarking PyTorch 2.0 different models☆21Updated last year
- A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.☆13Updated 2 years ago
- Codes of the paper Deformable Butterfly: A Highly Structured and Sparse Linear Transform.☆12Updated 3 years ago
- ☆48Updated 2 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms☆10Updated last year
- High-performance tokenized language data-loader for Python C++ extension☆12Updated 5 months ago
- We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models☆28Updated 2 months ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆16Updated 2 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 2 years ago
- A "gym" style toolkit for building lightweight NAS systems.☆13Updated 2 years ago
- In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization awa…☆22Updated 3 years ago
- Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification☆46Updated 2 years ago
- Open Source Projects from Pallas Lab☆20Updated 3 years ago
- ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems☆19Updated last year
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆11Updated 5 years ago
- Unofficial pytorch implementation of Piecewise Linear Unit dynamic activation function☆16Updated last year
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆22Updated last month
- Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention (CVPR 2022)☆20Updated 2 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆31Updated last year
- ☆9Updated last year
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated last year
- ☆15Updated last month