High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
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Building a population of models that trade crypto and mutate iteratively
- trading-bot
- bitcoin
- neuroevolution
- reinforcement-learning
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
A tool for quantitative risk analysis of Android applications based on machine learning techniques
- android
- risk
- android-permissions
- quantitative-risk-analysis
Scientific computing in pure Crystal
- crystal
- linear-algebra
- machine-learning
- autograd
Learn how to build a compiler by interacting with Let's Build a Compiler by Jack Crenshaw in Swift Playgrounds
- compiler
- compiler-principles
- compiler-construction
- swift
Hand-gesture recognition on iOS app using CoreML
- ios
- ios11
- swift
- coreml
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
- point-cloud
- deep-learning
- relocalization
- feature-learning
A tool for automatic phoneme transcription
- speech-recognition
- machine-learning
- acoustic-models
- artificial-intelligence
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
Build systems with Go examples
- golang
- go
- book
- programming-language
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
Safe Bayesian Optimization
- gaussian-processes
- optimization
- robotics
- reinforcement-learning
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
- gnn
- graph-neural-netowrks
- signed-networks
- directed-networks
Safe Exam Browser for macOS and iOS
- seb
- seb-mac
- macos
- xcode
Symbolic regression in seconds.
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
- agent-framework
- agentic-workflow
- aiforscience
- llm-agents
Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.
Go(lang) benchmarks - (measure the speed of golang)
- golang
- go
- examples
- benchmark
Learn the DSA and be Interview ready
- dsa
- java
- coding-challenges
- data-structures-and-algorithms
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning