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accurate prediction of promoter activity and variant effects from massive parallel reporter assays
List of papers about Proteins Design using Deep Learning
Listing of papers about machine learning for proteins.
A curated list of awesome explorable explanations.
A benchmarking and optimisation framework for spike detection algorithms supported by SpikeInterface.
LlamaIndex is a data framework for your LLM applications
This project is deprecated. Check my new project ChatHub:
🦜🔗 Build context-aware reasoning applications
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The thesis is "On universality of fully-connected neural networks". This thesis aims to present key results in the approximation theory of artificial neural networks assuming only undergraduate mat…
Optimising chemical reactions using machine learning
Analysis of ensembles of metabolic network reconstructions
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
This repository includes the implementation of CAGCN and the experiments on link prediction/node classification
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
A general purpose recommender metrics library for fair evaluation.
Auto3D generates low-energy conformers from SMILES/SDF
Thesis exploring the future of computer input. We discuss the theory, conduct case studies, then design and build a new input device to replace the computer keyboard for the advancing XR revolution.
The definitive guide to using Vector Search to solve your semantic search production workload needs.
Neural Networks: Zero to Hero