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Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
电商用户行为分析大数据平台
[ACL 2023] Reasoning with Language Model Prompting: A Survey
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
A high-performance, arbitrary-precision, floating-point decimal library.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
C-style arbitrary precision calculator
The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.
AutoBound automatically computes upper and lower bounds on functions.
A library and extension that provides objects for scientific computing in PHP.