Popular GitHub Repositories for Protein Protein Interactions

Pydoll is a library for automating chromium-based browsers without a WebDriver, offering realistic interactions.

A Streamlit-powered Chat Assistant utilizing Ollama's DeepSeek-R1 (1.5B) model for intelligent, context-aware conversations. Designed with an interactive chat interface, adjustable model parameters. It leverages Ollama for local model serving and Streamlit for a responsive UI for text-based interactions.

Control GenAI interactions with power, precision, and consistency using LLM-native Conversation Design paradigms

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

The Security Toolkit for LLM Interactions

List of papers about Proteins Design using Deep Learning

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

A selection of state-of-the-art research materials on trajectory prediction

The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.

A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions

AI video agents framework for next-gen video interactions and workflows.

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.

Implementation of the model from "ProGen: Language Modeling for Protein Generation"

Generation of protein sequences and evolutionary alignments via discrete diffusion models

Platform for Situated Intelligence

Diffusion models of protein structure; trigonometry and attention are all you need!