Projects in Awesome Lists by deepbiolab

https://github.com/deepbiolab/drl-trading

Research on Deep Reinforcement Learning (DRL) for stock trading

ai-trading ddpg dqn reinforcement-learning

Last synced: 26 Apr 2026

https://github.com/deepbiolab/multi-agent-ddpg

Implementation of MADDPG for cooperative-competitive multi-agent environments

ddpg maddpg multiple-agent reinforcement-learning

Last synced: 29 Apr 2026

https://github.com/deepbiolab/python-tutorials

Last synced: 18 Jul 2025

https://github.com/deepbiolab/customer-complaint-classification

An GenAI-powered pipeline leveraging Whisper, DALL-E, and GPT to transform customer complaints into actionable insights with automated transcription, visualization, and classification.

azure dalle gpt whisper

Last synced: 13 Apr 2026

https://github.com/deepbiolab/oas-gpt

Create a Large Antibody Language Model from Scratch with Pytorch

Last synced: 05 Apr 2025

https://github.com/deepbiolab/cppseries

C++ related

Last synced: 05 Apr 2025

https://github.com/deepbiolab/nn-zero-to-hero-in-science

Last synced: 05 Apr 2025

https://github.com/deepbiolab/algorithm-implementation

python implementation for ai algorithm

Last synced: 05 Apr 2025

https://github.com/deepbiolab/custom-copilot-with-azure

Tutorial about building, testing, and deployment of a copilot capable of retrieving relevant information from an indexed dataset and delivering accurate, real-time responses to customer inquiries

azure copilot prompt-flow rag

Last synced: 19 May 2026

https://github.com/deepbiolab/deepbiolab.github.io

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, reinforcement learning, and more. Dive into algorithms, develop from scratch, and discover solutions to science problems.

ai ai-for-science antibody-design bioprocess-development deep-learning machine-learning reinforcement-learning

Last synced: 19 Apr 2026

https://github.com/deepbiolab/nano-abnovo

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

Last synced: 07 Mar 2026

https://github.com/deepbiolab/gitbo

Last synced: 06 Jul 2026

https://github.com/deepbiolab/rlhf-summary

Last synced: 15 Sep 2025

https://github.com/deepbiolab/agentic-ai-research

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

Last synced: 14 Apr 2025

https://github.com/deepbiolab/antibody-bpe-tokenizer

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

Last synced: 14 Apr 2025

https://github.com/deepbiolab/reinforce-bio

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

bioprocess-optimization bioreactor biotechnology ddpg deep-learning deep-reinforcement-learning gaussian-process hybrid-modeling neuralode process-optimization reinforcement-learning simulation

Last synced: 18 May 2026

https://github.com/deepbiolab/mamba-in-depth

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 examples.

learning-resources mamba state-space-models

Last synced: 14 Apr 2025

https://github.com/deepbiolab/illustrated-alphazero

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

Last synced: 14 Apr 2025

https://github.com/deepbiolab/minimal-rl-vlm

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

Last synced: 14 Apr 2025

https://github.com/deepbiolab/rag-for-proteins

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

llm local-rag proteins rag

Last synced: 16 Apr 2026

https://github.com/deepbiolab/retrosynthesis-transformer

A TensorFlow-based Transformer model for predicting reactant molecules in retrosynthesis. This repository includes comprehensive tutorials for beginners to learn neural networks and TensorFlow, enabling users to build and understand advanced sequence-to-sequence models in computational chemistry.

computational-chemistry neural-networks retrosynthesis transformer tutorials

Last synced: 23 Jul 2025

https://github.com/deepbiolab/system-monitor.cpp

A Linux system monitor implementation similar to htop, built with C++ and ncurses library. This project demonstrates object-oriented programming principles by providing real-time system metrics including CPU usage, memory consumption, and process information.

abstraction classes cpp cpp17 encapsulation generic-programming inheritance oriented-object-programming polymorphism structures system-monitor

Last synced: 09 Aug 2025

https://github.com/deepbiolab/gpt2-classification-peft

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)

Last synced: 10 Aug 2025

https://github.com/deepbiolab/vlm-chart-interpreter

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

Last synced: 23 Aug 2025

https://github.com/deepbiolab/llm-paper-research

This repository contains implementations and illustrative code related to LLMs publications.

large-language-models llms papers research

Last synced: 03 Feb 2026

https://github.com/deepbiolab/neural-bio

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

bioreactor biotechnology hybrid-modeling neural-networks physics-informed-neural-networks pinn process-optimization

Last synced: 18 Apr 2026

https://github.com/deepbiolab/nano-bo

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

bayesian-optimization from-scratch

Last synced: 04 Sep 2025

https://github.com/deepbiolab/gans-research

🎨 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.

deep-learning gans image-generation progressive-gan stylegan wgan