Alternatives and similar repositories for brp-nas:

Users that are interested in brp-nas are comparing it to the libraries listed below

• SamsungLabs / eagle
  Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models
  ☆66Updated last year
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆25Updated last year
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• leeyeehoo / GenNAS
  Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)
  ☆36Updated 2 years ago
• yawen-d / TransNASBench
  This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …
  ☆22Updated last year
• GATECH-EIC / HW-NAS-Bench
  [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
  ☆109Updated last year
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 2 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆38Updated 4 years ago
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• 1hunters / LIMPQ
  Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
  ☆51Updated last year
• yaozhewei / HAP
  ☆43Updated last year
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆47Updated 2 years ago
• orashi / NSE_NAS
  Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"
  ☆11Updated 3 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆58Updated 4 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 3 years ago
• decemberzhou / TF_TAS
  ☆36Updated 2 years ago
• SLDGroup / survey-zero-shot-nas
  ☆21Updated last year
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆44Updated 3 years ago
• SamsungLabs / blox
  Macro Neural Architecture Search Benchmark
  ☆16Updated last year
• MAC-AutoML / ITPruner
  ☆23Updated 3 years ago
• ShunLu91 / PINAT
  [AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
  ☆31Updated last year
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• A-suozhang / Papers-of-NAS
  Personal Digest of NAS (Under Construction 🛠)
  ☆25Updated 4 years ago
• HayeonLee / HELP
  Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…
  ☆61Updated 6 months ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 2 years ago
• automl / nasbench301
  ☆76Updated 10 months ago
• IST-DASLab / spdy
  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
  ☆18Updated last year
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆59Updated 3 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 4 years ago