Discovery peers in a distributed system using regular dns and multicast dns.
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A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
API Condenser / Reverse Proxy using Kestrel and Consul, Including light weight consul lib
- consul
- kestrel
- leader
- service-discovery
LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
- agent-framework
- agentic-workflow
- aiforscience
- llm-agents
A safe way to execute functions asynchronously, recovering them in case of panic. It also provides an error stack aiming to facilitate fail causes discovery.
- go
- async
- hacktoberfest
Content discovery and fuzzing with HTTP/3 support (100k requests per second)
Blazing fast GraphQL discovery & fingerprinting toolbox.
- discovery
- fingerprinting
- graphql
- graphql-tools
Please note that the warc-indexer tool & code is now supported by NetArchiveSuite. The 'warc-indexer' directory and code that exists in this repo is now only for reference. For support and issues of 'warc-indexer', please communicate with NetArchiveSuite.
Experimental HTTP protocol for AI agents: operation discovery, concurrency policy and human-priority scheduling.
Some tools one can use for doing microservices with Vert.x
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking
TypeDB Bio: Biomedical Knowledge Graph
- bioinformatics
- knowledge-graph
- knowledge-base
- drug-discovery
MDNS implementation for MicroPython with Service Discovery
A microservice (sidecar) that helps instantly determine the status of your PostgreSQL hosts including whether they are alive, which one is the master, which ones are replicas, and how far each replica is lagging behind the master.
- c
- master-replica
- pg
- postgresql
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
- ai-agents
- document-processing
- dspy
- entity-extraction
Scalable stateless «zero config» service-name ingress for docker swarm mode with a fresh more secure approach
- docker-swarm-mode
- tls
- encryption
- swarm-router
Strategies For Automatic Node Discovery
- erlang
- distributed-erlang
- aws
- aws-ec2
Service discovery and querying of GraphQL schema's in Vert.x based microservices
- vertx-service-discovery
- vertx
- graphql
- microservices
Free and open-source medical device discovery and identification
- medical-devices
- network-traffic
- pcap
- port-mirroring