Popular GitHub Repositories for Target 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

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.

Baidu's open-source Sentiment Analysis System.

Provide an input CSV and a target field to predict, generate a model + code to run it.

MLBox is a powerful Automated Machine Learning python library.

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

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

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

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

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

:book: 收集NLP领域相关的数据集、论文、开源实现，尤其是情感分析、情绪原因识别、评价对象和评价词抽取方面。

An extension of XGBoost to probabilistic modelling

? Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

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

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

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