Gyver's repositories
-DL_PaperReadingMeeting
Deep Learning Paper Reading Meeting-Archive
cookbook
Upstage api examples and guides
surveytable
surveytable: Formatted Survey Estimates
Agent4SE-Paper-List
Repository for the paper "Large Language Model-Based Agents for Software Engineering: A Survey".
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
ai_summer
Summary repository for AI Summer 2022
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bert
TensorFlow code and pre-trained models for BERT
Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
cdc-open-viz
CDC OpenViz is a library of React packages for data visualization.
concierge
Repo for Concierge AI dev work
did_chapter
Code for DID chapter
flux
Official inference repo for FLUX.1 models
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
GPT-RAG
Sharing the learning along the way we been gathering to enable Azure OpenAI at scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
grover
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
handson-ml3
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소
langchain
⚡ Building applications with LLMs through composability ⚡
OpenChat
Run and create custom ChatGPT-like bots with OpenChat, embed and share these bots anywhere, the open-source chatbot console.
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
ray-educational-materials
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
SimCSE
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
storytelling-with-data
Plots from the book "Storytelling with data" implementation using Python and matplotlib
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
unlimiformer
Public repo for the preprint "Unlimiformer: Long-Range Transformers with Unlimited Length Input"