All about Artificial Intelligence Bioprocess Development Lab

A minimal Bayesian Optimization implementation with Gaussian Processes, designed for simplicity and educational purposes.

In-depth tutorials on data science, machine learning, statistics, and real-world analytics applications.

python implementation for ai algorithm

Train a vision language model from scratch used for chart interpretation in data analysis

Exploring agentic AI systems: research, development, and insights.

AI HealthBot Agent to provide personalized, on-demand patient education.

🎨 A step-by-step implementation of key GAN architectures from Vanilla GAN to StyleGAN3, focusing on training stability, conditional control, and high-quality image generation.

A minimal implementation of PPO-based RL for vision-language models, designed to run on a single A100 GPU.

A demonstration of Retrieval-Augmented Generation (RAG) applied to protein analysis

bioreactor modeling with autoregressive transformers for bioprocess optimization and simulation

A comprehensive learning guide for understanding S4 (Structured State Space Sequence Model) and Mamba architectures, from fundamentals through implementation, with curated resources and hands-on ex…

A minimal BPE tokenizer trained from scratch for antibody heavy and light chain sequences.

Reproducing the core concepts from the paper "AbNovo: Constrained Preference Optimization for Multi-objective Antibody Design"

How to fine-tune a GPT-2 model for medical question-pair similarity tasks using Hugging Face's PEFT (Parameter-Efficient Fine-Tuning) library and LoRA (Low-Rank Adaptation)

Implementation of AlphaZero, designed to demystify its core concepts and algorithms.

Implementation of deep reinforcement learning

Implementation of MADDPG for cooperative-competitive multi-agent environments

Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.

DeepBioLab is an AI-focused platform designed to explore, build, and share advanced AI algorithms. It features educational content, projects, and research on topics like deep learning, reinforcemen…

A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.