Popular GitHub Repositories for Integer Encoding

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

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

MLBox is a powerful Automated Machine Learning python library.

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.

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.

FFmate is a modern and powerful automation layer built on top of FFmpeg - designed to make video and audio transcoding simpler, smarter, and easier to integrate

Cameras as Relative Positional Encoding

Represent trained machine learning models as Pyomo optimization formulations

Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (SentencePiece) models

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

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

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

MoVQGAN - model for the image encoding and reconstruction