Popular GitHub Repositories for Aes 256 Cbc

?FFPA(Split-D): Yet another Faster Flash Prefill Attention with O(1) GPU SRAM complexity for headdim > 256, ~2x↑?vs SDPA EA.

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

想曰 - 文本加密让你想曰就曰，曰你所想。 | Want to say - Text encryption allows you to express what you want to say and convey your thoughts.

New flexible and efficient image generation framework that sets new SOTA on FFHQ-256 with FID 2.05, 2022

Exploring CNNs and model quantization on Caltech-256 dataset

Automated Essay Scoring using BERT

提供AI分析的字体TTF、PNG和矢量SVG数据集，字体图像8位256*256图像，每个字库包含9169个汉字，文件名为字体Unicode

SPPU BE COMP LP3 Codes - Machine Learning (ML) and Information and Cyber Security (ICS)

Something in the middle of Karpathy's mingpt model and video lectures, BabyGPT is an easy to use model on a much smaller scale (16 and 256 out channels , 5 heads, fine tuned). To be made useful on low powered devices.

本项目无需安装任何应用程序，即可深入了解勒索软件的运作方式。

A RAG Proof of Concept that delivers comprehensive, context-aware insights on healthcare data privacy through a novel knowledge tree.

Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization. This course aims to help you learn some essential foundational concepts and the notation used to express them.

My attempt for the Kaggle AES project (https://www.kaggle.com/c/asap-aes)

(TODO) actually callable javascript lambdas of infinitely threadable (potentially massively-multiplayer) godel-like-numbering-secure low latency neuralnet approximation of hypercomputation of the iota combinator sparse-emulating debugger breakpoints of itself, in javascript lambdas, such as naming every possible lambda by a 256 bit merkle id

Fine tuning a gpt2 model for code generation/completion. This is the work under Advanced Engineering School (AES) Innopolis University. Data and model is not open source, the prototyping is for learning purposes.

Gulp(CBC MILP) optimization and MLP(ANN) forecasting

This repository contains the code and configuration files for training a multimodal fine-tuned `InstructPix2Pix` model to predict future robotic action frames. The model generates 256×256 resolution images conditioned on a current observation and textual instruction

Java utility library, contain many feature, support to Large Language Model inference with LLaMA. Face Detection with OpenCV, Face Recognition with Python....and more

Automatic Evaluation of Textual Answers on the famous Kaggle Automated Essay Scoring (AES) dataset.

LoRa telemetry system using Raspberry Pi 4 and E22-900T22S (UART). Supports AES-128 encryption, CRC8 checksum, CSV logging, and data transfer via SCP. RSSI/SNR not available due to hardware limits. Ideal for simple wireless environmental data collection.