Popular GitHub Repositories for Integer

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

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.

Represent trained machine learning models as Pyomo optimization formulations

[ICML'21 Oral] I-BERT: Integer-only BERT Quantization

The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

Certifiable Outlier-Robust Geometric Perception

Korean OCR Model Design(?? OCR ?? ??)

Multiobjective black-box optimization using gradient-boosted trees

[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

[IEEE TKDE | TITS 2023] "Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling" | "Neural Airport Ground Handling"

Repository for "Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots" - RSS 2024

Predict the next term of an integer sequence using ensemble of models working on different types of sequences: for Fun and Profit! ?

Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.

Embedding Quantization (Compress Word Embeddings)

A program where you can draw something without a keyboard or a mouse. It does not end here, it will give a random integer to draw, the Neural Network will predict the digit that you drew. The whole program works like a game.

Quantization is a technique to reduce the computational and memory costs of running inference by representing the weights and activations with low-precision data types like 8-bit integer (int8) instead of the usual 32-bit floating point (float32).

MIRROR of https://codeberg.org/catseye/Kolakoski-Kurve : A 2-dimensional depiction of the self-describing Kolakoski sequence

Round each element in a single-precision floating-point strided array toward positive infinity according to a strided mask array.

Round each element in a single-precision floating-point strided array toward positive infinity.