ABAKA-AI

ABAKA-AI's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• ABAKA-AI/mooredata-sdk

  mooredata python sdk

  Language:Python41

• multimodal-art-projection/MAP-NEO

  Language:Python87481

• Awesome3DGS/3D-Gaussian-Splatting-Papers

  3D高斯论文，持续更新，欢迎交流讨论。

  Language:Python1.2k43

• Kong/insomnia

  The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.

  Language:JavaScript34.8k2k

• ABAKA-AI/abavasdk

  abava python data sdk

  Language:Python142

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  17.4k2.2k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  18.6k1.5k

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.5k482

• skypilot-org/skypilot

  SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

  Language:Python6.7k501

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python36.9k4.5k

• openai/chatgpt-retrieval-plugin

  The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  Language:Python21.1k3.7k

• EleutherAI/lm-evaluation-harness

  A framework for few-shot evaluation of language models.

  Language:Python6.9k1.8k

• tatsu-lab/stanford_alpaca

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

  Language:Python29.5k4.1k

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.6k5.2k

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k44.3k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.5k5.6k

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python39k5k

• JOP-Lee/READ

  AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

  Language:Python45156