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The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Simple C Compiler written in Python
Mainly focus on the imlementation of key functions using the Wasm textual format
Materials for the Hugging Face Diffusion Models Course
A comparative analysis of offline reinforcement learning algorithms (BC, CQL, IQL, TD3+BC) on MuJoCo benchmarks, featuring a custom-enhanced TD3+BC implementation for improved performance.
Json mapping the countries of the world to their cities
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
A collection of reference environments for offline reinforcement learning
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
๐ A curated list of languages that compile directly to or have their VMs in WebAssembly
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning ๐ฅ โก ๐
robomimic: A Modular Framework for Robot Learning from Demonstration
Denoising Diffusion Probabilistic Models
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Acceptance rates for the major AI conferences
Build a Large Language Model (From Scratch) book and Finetuned Models
x86 PC emulator and x86-to-wasm JIT, running in the browser
๐ Curated list of awesome things regarding the WebAssembly (wasm) ecosystem.
๐ฅ๐ฅ๐ฅ [IEEE TCSVT] Latest Papers, Codes and Datasets on Vid-LLMs.
Code examples that accompany the MDN WebAssembly documentation โ see https://developer.mozilla.org/en-US/docs/WebAssembly.
WebAssembly specification, reference interpreter, and test suite.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
๐จ Oh My Commit, Your Next-gen AI-powered Commit Solution.