A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
- agent-memory
- financial-forecasting
- future-prediction
- knowledge-graph
Repository Index
47,133 repositories indexed
1–24 of 138 · Most stars
A JS library for predictable global state management
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
- distributed-database
- distributed-transactions
- tidb
- database
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
- face-recognition
- vgg-face
- facenet
- openface
A predictable state management library that helps implement the BLoC design pattern
- flutter
- dart
- dartlang
- flutter-package
Instant, easy, and predictable development environments
- devbox
- development-environment
- nix
- venv
Lime: Explaining the predictions of any machine learning classifier
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
A functional and reactive JavaScript framework for predictable code
- framework
- javascript
- typescript
- reactive-programming
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
Performance analysis of predictive (alpha) stock factors
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
A :baby: buddy to help caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guess work.
- baby
- parents
- tracker
- self-hosted
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery