A selection of state-of-the-art research materials on trajectory prediction
- trajectory-prediction
- trajectory-generation
- social-interactions
- behavior-prediction
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A selection of state-of-the-art research materials on trajectory prediction
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
An offline deep reinforcement learning library
Machine Learning in R
A NSFW (aka porn) detector with CoreML
GoMLX: An Accelerated Machine Learning Framework For Go
:nut_and_bolt: A collection of awesome resources for learning Service Workers
Synthetic data generators for tabular and time-series data
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Hyper-parameter optimization for sklearn
Hyperparameter Experiments with TensorFlow and Keras
Python implementations of the Boruta all-relevant feature selection method.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
On-line Machine Learning in Go (and so much more)
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Stream Processing and Complex Event Processing Engine
What's in your data? Extract schema, statistics and entities from datasets
Python Streaming DataFrames for Kafka
Rust projects here are easy to use. There are blog posts for them also.
Distributed Deep learning with Keras & Spark
World's first general purpose 3D object detection codebse.
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
A Next.js and MongoDB web application, designed with simplicity for learning and real-world applicability in mind.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.