Alternatives and similar repositories for NeuralWeightVirtualization:

Users that are interested in NeuralWeightVirtualization are comparing it to the libraries listed below

• Kyrie-Zhao / awesome-real-time-AI
  This is a list of awesome edgeAI inference related papers.
  ☆91Updated last year
• csu-eis / CoDL
  ☆74Updated last year
• ztt-21 / zTT
  zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation
  ☆22Updated 3 years ago
• SamsungLabs / eagle
  Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models
  ☆66Updated last year
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 3 years ago
• eis-lab / sage
  Experimental deep learning framework written in Rust
  ☆14Updated 2 years ago
• GATECH-EIC / HW-NAS-Bench
  [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
  ☆105Updated last year
• Soroosh129 / NeuOS
  Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"
  ☆20Updated 4 years ago
• qipengwang / Melon
  MobiSys#114
  ☆21Updated last year
• UbiquitousLearning / Mandheling-DSP-Training
  The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]
  ☆18Updated 2 years ago
• kunglab / branchynet
  ☆124Updated last year
• xumengwei / DeepCache
  Cache design for CNN on mobile
  ☆32Updated 6 years ago
• xumengwei / Edge-AI-Paper-List
  ☆192Updated last year
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆38Updated 4 months ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆38Updated 4 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• 1hunters / LIMPQ
  Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
  ☆50Updated last year
• yeshaokai / ADMM-NN
  ☆36Updated 5 years ago
• lcm97 / TX2-dnn-power-measurements
  ☆20Updated 4 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆55Updated 5 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆196Updated 2 years ago
• ModelTC / NNLQP
  ☆34Updated 2 years ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆78Updated 3 years ago
• cornell-zhang / dnn-gating
  Conditional channel- and precision-pruning on neural networks
  ☆72Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆49Updated 8 months ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆270Updated last month
• UbiquitousLearning / MobileDLFrameworksBenchmark
  ☆19Updated 2 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆68Updated 3 years ago
• Raphael-Hao / Abacus
  ☆37Updated 3 years ago