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Inspired by Ilya Sutskever’s 2020 reading list to John Carmack, this repo reproduces and explores key AI papers, known as the "ilya30u30." Dive into detailed notes, code, and insights to deepen your understanding of foundational and advanced deep learning concepts.
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.
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
Reproducing the core concepts from the paper "AbNovo: Constrained Preference Optimization for Multi-objective Antibody Design"
Implementation of MADDPG for cooperative-competitive multi-agent environments
Repositories
48Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.
Inspired by Ilya Sutskever’s 2020 reading list to John Carmack, this repo reproduces and explores key AI papers, known as the "ilya30u30." Dive into detailed notes, code, and insights to deepen your understanding of foundational and advanced deep learning concepts.
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.
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Reproducing the core concepts from the paper "AbNovo: Constrained Preference Optimization for Multi-objective Antibody Design"
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A minimal Bayesian Optimization implementation with Gaussian Processes, designed for simplicity and educational purposes.
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In-depth tutorials on data science, machine learning, statistics, and real-world analytics applications.
python implementation for ai algorithm
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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.
Implementation of MADDPG for cooperative-competitive multi-agent environments
🎨 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.
Implementation of AlphaZero, designed to demystify its core concepts and algorithms.
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
Releases from OpenAI Preparedness
Implementation of https://srush.github.io/annotated-s4
A minimal BPE tokenizer trained from scratch for antibody heavy and light chain sequences.
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 deep reinforcement learning
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.
The engine of the RenderCV App