Insights, tutorials, and behind-the-scenes from our journey in scientific toolmaking and analysis.
Build brain-inspired neural agents with differentiable memory, experience replay, and meta-learning in PyTorch to tackle catastrophic forgetting and continual learning across tasks.
Read on DataLens.Tools →Dilutions, serials, plate-like experiments, DMSO cap checks, buffers, master mixes — all in one Streamlit + Supabase app.
Read on DataLens.Tools →How NVIDIA’s new open-model initiative is transforming research in AI, biology, and robotics.
Read on DataLens.Tools →Learn how to process biological images using open-source tools.
Read on Medium →How I built an interactive FLIR thermal image analyzer using Python.
Read on Medium →Clean and troubleshoot common data type issues in your analysis pipeline.
Read on Medium →Build a real-world speech recognition system with Hugging Face & PyTorch.
Read on Medium →Extract key insights from large spectral datasets using dimensionality reduction.
Read on Medium →Use Retrieval-Augmented Generation (RAG) to display live crypto updates.
Read on Medium →Beginner's guide to transforming messy data into analyzable formats.
Read on Medium →