landskape-ai / Progressive-Pruning
Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Progressive-Pruning
- Shows how to do parameter ensembling using differential evolution.☆10Updated 2 years ago
- Efficient Deep Learning Survey Paper☆32Updated last year
- ☆21Updated last year
- Anytime Learning At Macroscale☆9Updated 3 years ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 2 years ago
- Examples of using PyTorch hooks, as covered in my YouTube tutorial video.☆32Updated last year
- PyTorch implementation of GLOM☆21Updated 2 years ago
- Code for a workshop hosted at the MLOps World Summit '22☆16Updated 2 years ago
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- Code for reproducing the results in "How Well do Sparse Imagenet Models Transfer?", presented at CVPR 2022☆8Updated 2 years ago
- A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.☆13Updated 2 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- Proof-of-concept of global switching between numpy/jax/pytorch in a library.☆18Updated 5 months ago
- ImageNet training code that implements academic defaults☆13Updated 3 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- ☆15Updated 3 years ago
- ☆24Updated 2 years ago
- This project shows how to derive the total number of training tokens from a large text dataset from 🤗 datasets with Apache Beam and Data…☆24Updated 2 years ago
- ML/DL Math and Method notes☆57Updated 11 months ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated last year
- Recycling diverse models☆44Updated last year
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆124Updated last year
- Factorized Neural Layers☆27Updated last year
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆10Updated last year
- ☆14Updated 2 years ago
- NeurIPS2021: Vision Transformer Paper Collection☆9Updated 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
- A sample pattern for running CI tests on Modal☆13Updated 2 months ago
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆83Updated last year