Alternatives and similar repositories for ml-upscale:

Users that are interested in ml-upscale are comparing it to the libraries listed below

• facebookresearch / DepthShrinker
  [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …
  ☆71Updated 2 years ago
• apple / ml-vision-transformers-ane
  ☆77Updated last year
• apple / ml-spin
  This repository contains the official implementation for the ECCV'22 paper, "SPIN: An Empirical Evaluation on Sharing Parameters of Isotr…
  ☆20Updated last year
• apple / learning-compressible-subspaces
  ☆19Updated 3 years ago
• VainF / Isomorphic-Pruning
  [ECCV 2024] Isomorphic Pruning for Vision Models
  ☆65Updated 6 months ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆86Updated last year
• apple / ml-dr
  A light-weight implementation of ICCV2023 paper "Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Rei…
  ☆79Updated last year
• facebookresearch / DeltaCNN
  DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos
  ☆60Updated last year
• snap-research / efficient-nn-tutorial
  Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments
  ☆12Updated last year
• apple / ml-fct
  Research publication code for "Forward Compatible Training for Large-Scale Embedding Retrieval Systems", CVPR 2022, and "FastFill: Effici…
  ☆55Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 5 months ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated last year
• vladimir-chernykh / coreml-performance
  Utility to test the performance of CoreML models.
  ☆68Updated 4 years ago
• NVlabs / HALP
  ☆66Updated 2 years ago
• NVlabs / EfficientDL
  ☆31Updated 7 months ago
• Qualcomm-AI-research / oscillations-qat
  ☆74Updated 2 years ago
• bytedance / MRECG
  ☆34Updated last year
• IntelLabs / DyNAS-T
  Dynamic Neural Architecture Search Toolkit
  ☆29Updated 2 months ago
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆35Updated 11 months ago
• Qualcomm-AI-research / transformer-quantization
  ☆197Updated 3 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆33Updated 3 years ago
• aojunzz / NM-sparsity
  ☆220Updated 2 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆41Updated 4 months ago
• ofsoundof / random_channel_pruning
  ☆17Updated 2 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆63Updated 10 months ago
• Qualcomm-AI-research / FP8-quantization
  ☆134Updated last year
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆32Updated last year
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆102Updated last year