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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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Published directory entries matching your search.
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For a more complete list of AI writing assistants visit:.
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Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.
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An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
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A curated list of fraud detection papers from conferences including AAAI, CIKM, ICML, IJCAI, KDD, ICDM, and WWW. It also references similar collections about graph classification and other papers with implementations.
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Helps find, analyze or synthesize information for research and knowledge discovery.
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A curated list of Monte Carlo tree search papers with implementations, organized by conference and journal sources including NeurIPS, ICML, CVPR, ACL, AAAI, and others. The repository also links to similar collections covering graph classification, gradient boosting, and fraud detection papers.
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For adding AI agents'-related SDKs, frameworks and tools, please visit. This list is only for AI assistants and agents.
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BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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Open source web client for ChatGPT-style assistants, API keys, prompts, and self-hosted AI chat.
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An AI productivity studio that provides smart chat functionality, autonomous agent capabilities, and access to more than 300 pre-built assistants. It offers unified access to a range of frontier large language models for user workflows.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Open Code LLMs for Code Understanding and Generation.
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A GitHub repository from dair-ai containing explanations of key concepts in machine learning. The README lists papers with dates and descriptions, including the Transformer, Elmo, Marian MT, GPT, BERT and Transformer XL.
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Data-to-paper: AI-driven research from data to human-verifiable research papers.
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LinkedIn's generalized metadata search & discovery tool.
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Official PyTorch implementation of the CVPR 2019 paper on deep high-resolution representation learning for human pose estimation. The network maintains high-resolution representations through the whole process and connects multi-resolution subnetworks in parallel with repeated multi-scale fusions. Results are reported on the COCO keypoint detection dataset and the MPII Human Pose dataset.
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DeepSWE is a GitHub repository that provides a benchmark for measuring the performance of frontier coding AI agents on original, long-horizon engineering tasks. The repository includes documentation on task format, quickstart guides, and details about supported agents and models.
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Detectron2 is Facebook AI Research's next generation library providing detection and segmentation algorithms, succeeding Detectron and maskrcnn-benchmark. It supports computer vision research projects and production applications at Facebook and includes capabilities such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, ViTDet and MViTv2. Models can be exported to TorchScript or Caffe2 format for deployment.
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Basic proof of concept for genetic architecture search in Keras.
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Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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dowel is a logger for machine learning research. It is installed with pip and used by importing dowel and adding outputs such as StdOutput and TensorBoardOutput, then logging messages and tabular records during training runs.