hnishi's starred repositories
Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
ai-workout-assistant
AI-based pose tracking and repetitions counter to help everyone do the workout.
Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
chatgpt-google-summary-extension
Chrome extension to view ChatGPT summaries alongside Google search results and YouTube videos, also supports Yahoo! ニュース、PubMed、PMC、NewsPicks、Github、Nikkei、 Bing、Google Patents, and any page summary.
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.
ai-pr-reviewer
AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.
llama_index
LlamaIndex is a data framework for your LLM applications
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
huggingface-finetune-japanese
Examples to finetune encoder-only and encoder-decoder transformers for Japanese language (Hugging Face)