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Back to gersteinlab/biocoder

Open-source alternatives to BioCoder

15 open-source projects similar to gersteinlab/biocoder, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best BioCoder alternative.

  • rllm-org/rllmAvatar von rllm-org

    rllm-org/rllm

    5,641Auf GitHub ansehen↗

    rllm is an asynchronous reinforcement learning framework for training language agents. It provides a unified pipeline that runs the same agent code for both evaluation and training, automatically capturing traces for gradient computation. The framework supports distributed reinforcement learning across multiple GPUs and nodes using pluggable backends, and executes agents in isolated sandboxes—either locally or in the cloud—for safe and scalable rollout collection. It trains agents built with LangGraph, SmolAgents, OpenAI Agents SDK, or custom frameworks without requiring core logic changes. T

    Pythonagent-frameworkagentic-workflowcoding-agent
    Auf GitHub ansehen↗5,641
  • bytedance/fullstackbenchAvatar von bytedance

    bytedance/FullStackBench

    121Auf GitHub ansehen↗

    FullStack Bench: Evaluating LLMs as Full Stack Coders

    Python
    Auf GitHub ansehen↗121
  • evalplus/evalplusAvatar von evalplus

    evalplus/evalplus

    1,765Auf GitHub ansehen↗

    Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

    Python
    Auf GitHub ansehen↗1,765
  • google-research/google-researchAvatar von google-research

    google-research/google-research

    38,139Auf GitHub ansehen↗

    This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum computing, and large-scale scientific data analysis. It provides foundational frameworks for developing complex algorithmic systems, offering the necessary infrastructure for distributed training, computational graph execution, and high-performance model development. The project distinguishes itself by integrating specialized research domains with robust, privacy-preserving methodologies. It supports diverse scientific discovery through tools for quantum simulation, physics-informed

    Jupyter Notebookaimachine-learningresearch
    Auf GitHub ansehen↗38,139

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  • hendrycks/appsAvatar von hendrycks

    hendrycks/apps

    532Auf GitHub ansehen↗

    This is the repository for Measuring Coding Challenge Competence With APPS by Dan Hendrycks\, Steven Basart\, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, and Jacob Steinhardt.

    Python
    Auf GitHub ansehen↗532
  • leolty/repobenchAvatar von Leolty

    Leolty/repobench

    208Auf GitHub ansehen↗

    ✨ RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems - ICLR 2024

    Python
    Auf GitHub ansehen↗208
  • livecodebench/livecodebenchAvatar von LiveCodeBench

    LiveCodeBench/LiveCodeBench

    890Auf GitHub ansehen↗

    Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"

    Python
    Auf GitHub ansehen↗890
  • microsoft/codebertAvatar von microsoft

    microsoft/CodeBERT

    2,781Auf GitHub ansehen↗

    This repo contains code pretraining models in the CodeBERT series from Microsoft, including six models as of June 2023. - CodeBERT (EMNLP 2020) - GraphCodeBERT (ICLR 2021) - UniXcoder (ACL 2022) - CodeReviewer (ESEC/FSE 2022) - CodeExecutor (ACL 2023) - LongCoder (ICML 2023)

    Python
    Auf GitHub ansehen↗2,781
  • mrvplusone/coeditorAvatar von MrVPlusOne

    MrVPlusOne/Coeditor

    31Auf GitHub ansehen↗

    Coeditor is a transformer model that auto-edits your code based on your recent code changes. This repo includes the server code for the Coeditor VSCode extension and the scripts for data processing, model training, and evaluation. The ideas behind Coeditor are presented in the ICLR Spotlight…

    Python
    Auf GitHub ansehen↗31
  • nizarislah/gitchameleonAvatar von NizarIslah

    NizarIslah/GitChameleon

    14Auf GitHub ansehen↗

    Benchmark associated with the paper "GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models"

    Jupyter Notebook
    Auf GitHub ansehen↗14
  • nuprl/multipl-eN

    nuprl/MultiPL-E

    0Auf GitHub ansehen↗

    MultiPL-E is a system for translating unit test-driven neural code generation benchmarks to new languages. We have used MultiPL-E to translate two popular Python benchmarks (HumanEval and MBPP) to 18 other programming languages.

    Auf GitHub ansehen↗0
  • open-compass/devbenchAvatar von open-compass

    open-compass/DevBench

    131Auf GitHub ansehen↗

    👋 Overview | 📖 Benchmarking | ⚙️ Setup | 🚀 Usage | 🔎 Citation | 📄 License

    Python
    Auf GitHub ansehen↗131
  • princeton-nlp/swe-benchAvatar von princeton-nlp

    princeton-nlp/SWE-bench

    5,263Auf GitHub ansehen↗

    SWE-bench is a software engineering benchmark and evaluation framework designed to measure the ability of large language models to resolve real-world GitHub issues. It provides datasets and evaluation suites to verify whether model-generated code patches correctly fix software bugs. The project includes a multimodal benchmark for testing visual language models on issues involving graphical interfaces. It utilizes a collection of pre-processed repository issues and gold-standard patches to train and test AI coding agents. The framework provides infrastructure for containerized patch verificat

    Python
    Auf GitHub ansehen↗5,263
  • amazon-science/ccevalAvatar von amazon-science

    amazon-science/cceval

    179Auf GitHub ansehen↗

    This repository contains the data and inference code of the NeurIPS 2023 (Datasets and Benchmarks track) paper "CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion."

    Python
    Auf GitHub ansehen↗179
  • xlang-ai/ds-1000Avatar von xlang-ai

    xlang-ai/DS-1000

    273Auf GitHub ansehen↗

    Official data and code release for the paper DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. You can refer to our project page for more examples and baselines.

    Python
    Auf GitHub ansehen↗273