Alternatives and similar repositories for Auto-Compression

Users that are interested in Auto-Compression are comparing it to the libraries listed below

• SKKU-ESLAB / ACL-lowp
  arm compute library implementation of efficient low precision neural network
  ☆25Updated 4 years ago
• SKKU-ESLAB / CNN-on-flash
  CNN functions for dense matrices resident in flash storage
  ☆23Updated 5 years ago
• SKKU-ESLAB / ANT-Model-DB
  ANT framework's model database that provides DNN models for the various range of IoT devices
  ☆17Updated last week
• SKKU-ESLAB / IoTJS-Plus
  Enhanced version of IoT.js for ANT Framework - Platform for Internet of Things with JavaScript
  ☆15Updated 4 years ago
• SKKU-ESLAB / Virtual-Connection
  Virtual Connection: Framework for P2P Communication Abstraction
  ☆23Updated 4 years ago
• SKKU-ESLAB / ANT
  ANT (AI-based Networked Things) Framework
  ☆27Updated 2 months ago
• SKKU-ESLAB / IoTJS-Plus-TizenRT
  IoT.js of ANT based on Tizen RT
  ☆14Updated 4 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• XinDongol / BENN-PyTorch
  Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
  ☆31Updated 5 years ago
• ConstantPark / Neural-Network-Acceleration-2
  Neural Network Acceleration using CPU/GPU, ASIC, FPGA
  ☆60Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• Hyungjun-K1m / BinaryDuo
  Torch-7 implementation of BinaryDuo (ICLR 2020).
  ☆9Updated 4 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• penpaperkeycode / nnq_cnd_study
  nnq_cnd_study stands for Neural Network Quantization & Compact Networks Design Study
  ☆13Updated 4 years ago
• gopala-kr / DL-on-Silicon
  research, experimentation and implementation of hardware-agnostic accelerated DL framework
  ☆36Updated 3 weeks ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• allenbai01 / ProxQuant
  ProxQuant: Quantized Neural Networks via Proximal Operators
  ☆29Updated 6 years ago
• stanford-mast / nn_dataflow
  Explore the energy-efficient dataflow scheduling for neural networks.
  ☆225Updated 4 years ago
• VIA-Research / vTrain
  ☆70Updated last month
• marsupialtail / gpu-sparsert
  ☆18Updated 4 years ago
• ConstantPark / Nerual-Network-Acceleration-1
  Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM
  ☆52Updated 5 years ago
• cornell-zhang / dnn-gating
  Conditional channel- and precision-pruning on neural networks
  ☆72Updated 5 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆56Updated 5 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 6 years ago
• rhhc / ZeroQ-MP
  [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
  ☆14Updated 4 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 5 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 4 years ago
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago