iparkirk Goto Github PK
Type: User
Type: User
Work in Progress for AI-Powered Search (Manning Publications)
this is where we share notebooks/projects used in your youtube channel
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
Awesome papers about unifying LLMs and KGs
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Graph Data Science with Neo4j, Published by Packt
Large Language Models Fine Tuning
Hugo documentation theme as simple as plain book
https://iparkirk.github.io/
Official Kaggle API
Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.
Insightful Tutorials and Papers about Knowledge Graphs
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
The official GitHub page for the survey paper "A Survey of Large Language Models".
Utilizing Language Models to Expand Vision-based Commonsense Knowledge Graphs
🧬 ManyFold: An efficient and flexible library for training and validating protein folding models
Context-aware knowledge-graph based chatbot using GPT4 and Neo4j
Jupyter notebooks for the Natural Language Processing with Transformers book
Attempt at reproduction of AlphaFold2
A middle-to-high level open source algorithm book designed with coding interview at heart!
Code Repository for The Kaggle Book, Published by Packt Publishing
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.