Tim-Lin (deepbiolab)

deepbiolab

User data from Github https://github.com/deepbiolab

Location:Shanghai

Home Page:deepbiolab.ai

GitHub:@deepbiolab

Tim-Lin's repositories

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.

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drl-trading

Research on Deep Reinforcement Learning (DRL) for stock trading

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multi-agent-ddpg

Implementation of MADDPG for cooperative-competitive multi-agent environments

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nano-abnovo

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

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algorithm-implementation

python implementation for ai algorithm

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drl

Implementation of deep reinforcement learning

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neural-bio

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

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reinforce-bio

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

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agentic-ai-research

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

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antibody-bpe-tokenizer

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

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data-science-hub

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

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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.

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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.

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gpt-bio

bioreactor modeling with autoregressive transformers for bioprocess optimization and simulation

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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)

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healthbot

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

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illustrated-alphazero

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

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minimal-rl-vlm

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

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nano-bo

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

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preparedness

Releases from OpenAI Preparedness

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rag-for-proteins

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

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rendercv

The engine of the RenderCV App

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TinyZero

Deepseek R1 zero tiny version own reproduce on two H100s on Hyperbolic Cloud

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vlm-chart-interpreter

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

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