仓库

milesial 的仓库

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

最近提交 2021年9月1日

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Personal experimentation with Deep-Q-Networks for reinforcement learning

最近提交 2018年4月9日

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Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

最近提交 2022年6月22日

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LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

最近提交 2026年5月30日

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AI Toolkit for Healthcare Imaging

最近提交 2023年2月20日

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A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

最近提交 2026年5月4日

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NeMo: a toolkit for conversational AI

最近提交 2023年1月10日

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milesial/PLAsTiCC-2018Jupyter Notebook

Participation in the 2018 PLAsTiCC Astronomical Classification from Kaggle

最近提交 2018年11月25日

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PyTorch implementation of the U-Net for image semantic segmentation with high quality images

最近提交 2023年6月5日

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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.

最近提交 2025年8月21日

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Offline optimization of your disaggregated Dynamo graph

最近提交 2026年4月28日

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AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution.

最近提交 2026年5月5日

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最近提交 2023年1月20日

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Cosmos-Reason2 models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.

最近提交 2025年12月19日

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Dockerized Jupyter kernels.

最近提交 2022年11月10日

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A Datacenter Scale Distributed Inference Serving Framework

最近提交 2026年6月5日

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A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.

最近提交 2022年3月10日

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Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

最近提交 2025年9月4日

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没有最近提交数据

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Machine learning metrics for distributed, scalable PyTorch applications.

最近提交 2023年2月6日

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