AbnerAI

AbnerAI's Stars

• xai-org/grok-1

  Grok open release

  Language:Python49.6k5762118.3k

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python19.9k1375331.9k

• CoatiSoftware/Sourcetrail

  Sourcetrail - free and open-source interactive source explorer

  Language:C++15k3081k1.4k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.8k98181.1k

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python13.5k961471.2k

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.6k5413237

• OpenCodeInterpreter/OpenCodeInterpreter

  OpenCodeInterpreter is a suite of open-source code generation systems aimed at bridging the gap between large language models and sophisticated proprietary systems like the GPT-4 Code Interpreter. It significantly enhances code generation capabilities by integrating execution and iterative refinement functionalities.

  Language:Python1.6k1824205

• thu-ml/unidiffuser

  Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

  Language:Python1.4k173286

• tomhartke/knowledge-graph-from-GPT

  Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.

  Language:Jupyter Notebook65715055

• StanfordVL/OmniGibson

  OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine. Join our Discord for support: https://discord.gg/bccR5vGFEx

  Language:Python5332248455

• RElbers/info-nce-pytorch

  PyTorch implementation of the InfoNCE loss for self-supervised learning.

  Language:Python49431740

• zjunlp/AutoKG

  LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

  Language:Python3689634

• yunlongdong/Awesome-Embodied-AI

  29611122

• PKU-Alignment/align-anything

  Align Anything: Training All-modality Model with Feedback

  Language:Python25991846

• AutoSurveys/AutoSurvey

  Language:Python25132318

• Ablustrund/LoRAMoE

  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment

  Language:Python23821817

• BoXiaolei/MyTransformer_pytorch

  关于Transformer模型的最简洁pytorch实现，包含详细注释

  Language:Jupyter Notebook1651120

• akaashdash/kansformers

  Language:Jupyter Notebook1213413

• sina-mansour/UKB-connectomics

  This repository will host scripts used to map structural and functional brain connectivity matrices for the UK biobank dataset.

  Language:Jupyter Notebook627437

• NeuSpeech/awesome-brain-decoding

  collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.

  46102

• jasonHKU0907/DementiaProteomicPrediction

  Language:Python361010

• jasonHKU0907/FutureHealthProteomicPrediction

  Language:Python35128

• icon-lab/BolT

  Fused Window Transformers for fMRI Time Series Analysis (https://www.sciencedirect.com/science/article/pii/S1361841523001019)

  Language:Python33435

• jokedurnez/HCP_download

  Script to download data from the Human Connectome Project, HCP-1200 subjects release.

  Language:Python292013

• CLIP-MUSED/CLIP-MUSED

  Language:Python23111

• huawei-lin/HCP_Dataset_Download_Automatically_Script

  This script can download the HCP dataset automatically from amazon s3 browser by using python. You can download tfMRI, rfMRI, dfMRI, MEG etc. dataset from amazon s3 of HCP.

  Language:Python23102

• ShawonBarman/How-to-download-ABIDE-Preprocessed-dataset-for-autism-detection

  This script automates the download of preprocessed brain imaging data from the ABIDE dataset, focusing on a specific derivative, preprocessing pipeline, and noise-removal strategy. It filters participants by diagnosis (autism or controls) and downloads relevant data, streamlining research on autism spectrum disorder.

  Language:Jupyter Notebook13104

• hookhy/ABIDE_freesurfer_download

  Language:Python71

• dfsp-spirit/abide_preproc_smri_freesurfer6

  Data from our own pre-processing of the ABIDE I sMRI dataset (1035 subjects) in FreeSurfer v6.

  6230

• seuzjj/ACIFBN

  Code for paper： Asynchronous Functional Brain Network Construction with Spatiotemporal Transformer for MCI Classification

  Language:Python3111