GoMLX: An Accelerated Machine Learning Framework For Go
- go
- golang
- machine-learning
- neural-network
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GoMLX: An Accelerated Machine Learning Framework For Go
Synthetic data generators for tabular and time-series data
:nut_and_bolt: A collection of awesome resources for learning Service Workers
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Hyper-parameter optimization for sklearn
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.
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
What's in your data? Extract schema, statistics and entities from datasets
Stream Processing and Complex Event Processing Engine
Python Streaming DataFrames for Kafka
3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting
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.
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.
A curated list of awesome WebGL libraries, resources and much more
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A curated list of resources for Document Understanding (DU) topic
MLeap: Deploy ML Pipelines to Production