Pinned Repositories
ADClassifierTorch
For more information, refer to https://www.frontiersin.org/articles/10.3389/fnins.2019.00509/full
codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
CoFiPruning
ACL 2022: Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
keras2ncnn
A keras h5df to ncnn model converter
LLM-Pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support LLaMA, Llama-2, BLOOM, Vicuna, Baichuan, etc.
LoRaPruner
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
spatial-encoding_and_modality-encoding
Moonlit
This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.
nn-Meter
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
JiahangXu's Repositories
JiahangXu/ADClassifierTorch
For more information, refer to https://www.frontiersin.org/articles/10.3389/fnins.2019.00509/full
JiahangXu/LoRaPruner
JiahangXu/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
JiahangXu/spatial-encoding_and_modality-encoding
JiahangXu/codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
JiahangXu/CoFiPruning
ACL 2022: Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
JiahangXu/keras2ncnn
A keras h5df to ncnn model converter
JiahangXu/LLM-Pruner
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support LLaMA, Llama-2, BLOOM, Vicuna, Baichuan, etc.
JiahangXu/nn-Meter
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
JiahangXu/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
JiahangXu/traditional-speech-enhancement
Spectral Subtraction, Wiener Filtering, MMSE
JiahangXu/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
JiahangXu/RAP
Reasoning with Language Model is Planning with World Model