Funtowicz Morgan

@mfuntowicz · User

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@huggingface | Low-level stuff

@huggingface Paris, France348 followers39 repositories

Repositories

mfuntowicz/hmll

HMLL - High-Performance Model Loading Library for Efficient AI Model I/O

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mfuntowicz/hmll-devel

Experiment tracking for hmll repository - exploring not so clear paths and ideas that leads certainly nowhere

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mfuntowicz/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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mfuntowicz/AI-Trader

"AI-Trader: Can AI Beat the Market?" Live Trading: https://hkuds.github.io/AI-Trader/

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mfuntowicz/lighteval

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

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mfuntowicz/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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mfuntowicz/RNet

PyTorch RNet implementation with Distributed and Mixed-Precision training support.

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mfuntowicz/deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

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mfuntowicz/apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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mfuntowicz/onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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mfuntowicz/server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

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mfuntowicz/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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mfuntowicz/onnx

Open standard for machine learning interoperability

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mfuntowicz/flax

Flax is a neural network library for JAX that is designed for flexibility.

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