lucaslie

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@NVIDIA

New York, NY

https://lucasliebenwein.com

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mit-drl

omniml-ai

Lucas Liebenwein's starred repositories

R2R

The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.

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TensorRT-Incubator

Experimental projects related to TensorRT

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NATTEN

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

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TensorRT-Model-Optimizer

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization and sparsity. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.

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pydantic

Data validation using Python type hints

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adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

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cursor

The AI Code Editor

tanuki.py

Prompt engineering for developers

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TensorRT-LLM

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 efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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mojo

The Mojo Programming Language

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langchain

🦜🔗 Build context-aware reasoning applications

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AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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sparsegpt

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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ruff

An extremely fast Python linter and code formatter, written in Rust.

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GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

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streaming

A Data Streaming Library for Efficient Neural Network Training

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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torchprune

A research library for pytorch-based neural network pruning, compression, and more.

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composer

Supercharge Your Model Training

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tensil

Open source machine learning accelerators

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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torchpack

A neural network training interface based on PyTorch, with a focus on flexibility

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torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

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dotfiles

A set of vim, zsh, git, and tmux configuration files.

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