AgileRL VS llm

Compare AgileRL vs llm and see what are their differences.

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AgileRL llm
12 41
501 5,964
4.2% 3.1%
9.8 9.4
5 days ago about 2 months ago
Python Rust
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AgileRL

Posts with mentions or reviews of AgileRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-07.

llm

Posts with mentions or reviews of llm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-07.

What are some alternatives?

When comparing AgileRL and llm you can also consider the following projects:

chat-ui - Open source codebase powering the HuggingChat app

llama.cpp - LLM inference in C/C++

RLeXplore - RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

ggml - Tensor library for machine learning

loopquest - A Production Tool for Embodied AI

GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ

de-torch - Minimal PyTorch Library for Differential Evolution

alpaca-lora - Instruct-tune LLaMA on consumer hardware

Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM

q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.

SD-CN-Animation - This script allows to automate video stylization task using StableDiffusion and ControlNet.