The Best metaworld Alternatives in 2026

DeepSWE benchmarks coding agents on original, long-horizon software engineering tasks.

The learn2learn library supports meta learning experiments and research with PyTorch.

OpenVLA provides an open-source vision-language-action model for robotic manipulation tasks.

DeepSeek Coder is a language model project for code generation and programming tasks.

The BELLE project provides an open-source Chinese-language conversational model.

SWE-bench evaluates whether language models can resolve real GitHub issues.

MobiLlama is a small language model designed for edge devices, according to its repository description.

Janus combines multimodal understanding and image generation models in a unified model series.

Point·E is a research project that generates 3D point clouds using diffusion models.

CodeGen provides open-source models for program synthesis and code generation.

timm provides PyTorch image encoders and backbones along with training, evaluation, inference, and export scripts.

This research project presents an open platform for language agents in real-world settings.

This repository contains the DeepSeek-V3 language model project and related source files.

Code and documentation to train Stanford's Alpaca models, and generate the data.

ChatGLM-6B is an open bilingual dialogue language model described in English and Chinese.

Microsoft’s loralib implements low rank adaptation for large language models.

DeepSeek-VL2 supports multimodal understanding through a mixture-of-experts vision-language model.

This repository provides the PyTorch implementation of the TResNet computer vision architecture.

NuPIC implements Hierarchical Temporal Memory, a model of intelligence based on neocortical theory.

xTuring supports personalizing open source language models through preprocessing and fine tuning.

This repository contains Google Research code for the Flan-T5 language model project.

This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.

Alibi explains machine learning model predictions through a set of algorithms.

Repository accompanying the paper Generative Agents: Interactive Simulacra of Human Behavior, containing the core simulation module for agents that simulate believable human behaviors and their game environment.