Abonia1's Stars
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.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
gpt-engineer-org/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it. Completely separate team and codebase from the AI Web App builder https://gptengineer.app
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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.
Pythagora-io/gpt-pilot
The first real AI developer
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Stability-AI/StableLM
StableLM: Stability AI Language Models
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
eugeneyan/open-llms
📋 A list of open LLMs available for commercial use.
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
h2oai/h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
filipecalegario/awesome-generative-ai
A curated list of Generative AI tools, works, models, and references
CamDavidsonPilon/lifelines
Survival analysis in Python
ashishpatel26/LLM-Finetuning
LLM Finetuning with peft
currentslab/awesome-vector-search
Collections of vector search related libraries, service and research papers
youssefHosni/Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
XueFuzhao/awesome-mixture-of-experts
A collection of AWESOME things about mixture-of-experts
Ryota-Kawamura/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
nicknochnack/Llama2RAG
A working example of RAG using LLama 2 70b and Llama Index
windson/fastapi
FastAPI Tutorials & Deployment Methods to Cloud and on-prem infrastructures
chrise96/image-to-coco-json-converter
Convert segmentation RGB mask images to COCO JSON format
kyaiooiayk/Awesome-LLM-Large-Language-Models-Notes
What can I do with a LLM model?
sinanuozdemir/oreilly-hands-on-gpt-llm
Hands on Applications with GPT and other Large Language Models
mtybadger/chromaviz
A package for visualising Chroma vector collections in 3D
Abonia1/deeplearningai-generativeAI-short-courses
Notebook samples - Generative AI short courses - deeplearning.ai
Abonia1/yolosegment2labelme
yolosegment2labelme - a Python package that allows you to convert YOLO segmentation prediction results to LabelMe and anylabeling JSON format. This tool facilitates the annotation easy.
ashishpatel26/Tensorflow_plugin_profile
Tensorflow_plugin_profile End to End Example
codefresh-contrib/argo-rollout-canary-sample-app
Example with Canary deployments for Argo Rollouts and Prometheus