OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Open source real-time translation app for Android that runs locally

CPU inference for the DeepSeek family of large language models in C++

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

重生之我是 AI 打工人。前世，我的身份默默无闻，来去匆匆，不知道自己将在何地出生。然而，命运给予了我难得的机会，让我重生为一名 AI 打工人。

Tokenizers and Machine Learning Models for biological sequence data

Aussie AI Base C++ Library is the source code repo for the book Generative AI in C++, along with various other AI/ML kernels.

This is the official implementation for our paper;"LAR:Look Around and Refer".

Whisper in TensorRT-LLM

minimal workflow engine for data processing (POC)

Method for searching relevant podcast segments from transcripts using transformer models

Artificial Intelligence (AI) chip with his own hardware design and software. TruthGPT source tree

Transformers Games by High Moon Studios. Transformers ReEnergized Server Project is looking to Reverse Engineer and bring back the Transformers Multiplayer Servers that were shut down by Demonware Services and revive them for fans.

Transformer and Optimisation based vision position system

NanoOWL Detection System enables real-time open-vocabulary object detection in ROS 2 using a TensorRT-optimized OWL-ViT model. Describe objects in natural language and detect them instantly on panoramic images. Optimized for NVIDIA GPUs with .engine acceleration.

Optimization of Attention layers for efficient inferencing on the CPU and GPU. It covers optimizations for AVX and CUDA also efficient memory processing techniques.

Lightweight, header-only Byte Pair Encoding (BPE) trainer in modern C++17. Produces HuggingFace-compatible vocabularies for transformers and integrates with Modern Text Tokenizer.

Arduino coil and transformer tester and ring detector

Code repository for the research paper "Space Efficient Transformer Neural Network"

Experimental Implementation of Transformer (With Smolgen) on NVIDIA GPU with the help of LibTorch