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Discover 596 open source projects
Showing 361-380 of 596 projects
acl-org/acl-style-files
Official style files for papers submitted to venues of the Association for Computational Linguistics
yechens/NL2SQL
A project that integrates text-to-SQL dataset, solutions, and research papers for developers working with AI tools.
thunlp/KRLPapers
A curated collection of must-read papers on knowledge representation learning (KRL) and knowledge embedding (KE) for AI/ML developers.
openai/generating-reviews-discovering-sentiment
A Python library for generating reviews and discovering sentiment from text data.
dvgodoy/dl-visuals
A library of 200+ deep learning architecture diagrams and figures for use in blog posts, presentations, and papers.
CHIANGEL/Awesome-LLM-for-RecSys
A collection of resources on using large language models for recommender systems
bytedance/pasa
An advanced paper search agent powered by large language models that can autonomously search, read, and select relevant references.
MCG-NKU/NSFC-LaTex
This GitHub repository contains BibTeX style files, likely for formatting academic papers.
Awesome-Image-Registration-Organization/awesome-image-registration
A curated collection of resources related to image registration, including books, papers, videos, and toolboxes.
IDEA-Research/MaskDINO
Official implementation of a paper on a unified Transformer-based framework for object detection and segmentation.
zhan-xu/RigNet
Code for a SIGGRAPH 2020 paper on neural rigging for articulated characters, likely useful for developers working on 3D animation and graphics.
bgavran/Category_Theory_Machine_Learning
A collection of papers studying machine learning through the lens of category theory for developers.
yulunzhang/RCAN
PyTorch code for image super-resolution using very deep residual channel attention networks
xinychen/latex-cookbook
A LaTeX cookbook providing tutorials and resources for writing research papers.
luuuyi/CBAM.PyTorch
Non-official implementation of the CBAM paper, a convolutional block attention module for neural networks.
karpathy/arxiv-sanity-lite
Provides a lightweight and efficient way to retrieve, store, and recommend arXiv papers using SVMs over tfidf feature vectors.
tencent-ailab/persona-hub
A platform for vibe coders to discover and build with AI tools
sangyx/deep-finance
A curated collection of datasets, papers, and books on the intersection of AI and finance.
dair-ai/nlp_paper_summaries
A curated collection of NLP paper summaries for developers interested in natural language processing.
thu-ml/unidiffuser
An open-source library for training and running state-of-the-art diffusion models in Python.
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