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The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Model Context Protoco 8000 l Servers
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Get started quickly with Next.js, Postgres, Stripe, and shadcn/ui.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Official git repository for Biopython (originally converted from CVS)
This package contains deep learning models and related scripts for RoseTTAFold
Python package for graph neural networks in chemistry and biology
Interactive Data Visualization in the browser, from Python
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Working with molecular structures in pandas DataFrames
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Code for the ProteinMPNN paper
A real world full-stack application using LlamaIndex
List of papers about Proteins Design using Deep Learning
🔥Highlighting the top ML papers every week.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.