PositNN - Framework for training and inference with neural nets usings posits

A curated paper list on neural symbolic and probabilistic logic.

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

It contains a curated list of awesome RISC-V Resources.

Free universal database tool and SQL client

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Code Repository for Liquid Time-Constant Networks (LTCs)

This is a repo with links to everything you'd ever want to learn about data engineering

Ongoing research training transformer models at scale

Tensor library for machine learning

Curated list of project-based tutorials

A library for efficient similarity search and clustering of dense vectors.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

LLM inference in C/C++

Repo of resources to help learn about quantum computing.

Companion site for the textbook Quantum Computing: An Applied Approach

Infrastructure as code for GPU accelerated managed Kubernetes clusters.

CUDA Core Compute Libraries

Optimized primitives for collective multi-GPU communication

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)