Popular GitHub Repositories for Encoding Layer

The Memory layer for AI Agents

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

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

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

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Keras Attention Layer (Luong and Bahdanau scores).

LiveStore is a next-generation state management framework based on reactive SQLite and built-in sync engine.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

MLBox is a powerful Automated Machine Learning python library.

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

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

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

An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.

Implementation of the Point Transformer layer, in Pytorch

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

Draw multi-layer neural network in your browser