jack-willturner/deep-compression
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
The code for our paper "Neural Architecture Search as Program Transformation Exploration"
Generate Anki decks for TV shows based on frequency of words in subtitles.
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
PyTorch -> ONNX -> TVM for autotuning
giving this vibe coding thing a go
Website.
A personal tool for benchmarking PyTorch things.
A "gym" style toolkit for building lightweight NAS systems.
Code for "Characterising Across Stack Optimisations for Deep Convolutional Neural Networks"
Notes on things.
Self-supervised visual representation learning
An unofficial replication of NAS Without Training.
Assorted creative coding scripts & outputs using vanilla matplotlib
Code for Neural Architecture Search without Training (ICML 2021)
A PyTorch replication of "COIN: COmpression with Implicit Neural representations"
Automated deep learning algorithms implemented in PyTorch.
An exploration of design patterns for constructing neural networks.
AoC solutions
Not Alexandria Ocasio-Cortez
Searching the FBNet search space with NASWOT
A naive implementation of group convolution in TVM compute syntax
Benchmarks for timm (pytorch-image-models)