PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Easy-to-use and flexible AutoML library for Python.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Friendly Federated Learning Framework.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
Library for high performance deep learning inference on NVIDIA GPUs.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
An open source Python library for drift detection in machine learning systems.
Unsupervised machine learning with multivariate Gaussian mixture model.
Large scale Gaussian Mixture Models.
If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
A Chinese segment based on Conditional Random Field.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
Generalized linear models in Julia.
Open Bilingual Pre-Trained Model (ICLR 2023).
Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Fast and convenient feature processing for low latency machine learning in Go.
Benchmarks of machine learning inference for Go.
Machine learning library written in pure Go.
Hyperparameter optimization framework, inspired by Optuna.