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Shepherd Model Gateway

A framework for reproducible reinforcement learning research

A high-throughput and memory-efficient inference and serving engine for LLMs

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. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

SGLang is a fast serving framework for large language models and vision language models.

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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This is a project to make a commend to people seeking for jobs, which contributed by my National University Student Innovation Program team