NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
APACHE-2.0 License
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer ...
nannyml: post-deployment data science in python
Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. S...
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
A curated list of awesome Machine Learning frameworks, libraries and software.
âš¡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques fo...
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating poin...
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language ...
Unsupervised Language Modeling at scale for robust sentiment classification
In this repository, I will share some useful notes and references about deploying deep learning-b...
A scalable generative AI framework built for researchers and developers working on Large Language...
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems...