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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Finds accurate ML models automatically, efficiently and economically.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Easy-to-use and flexible AutoML library for Python.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
Julia package for Gaussian processes.
A Chinese segment based on Conditional Random Field.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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.
Open Bilingual Pre-Trained Model (ICLR 2023).
Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
Package for computer vision using OpenCV 4 and beyond.
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
Hyperparameter optimization framework, inspired by Optuna.
GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Creating semantic cache to store responses from LLM queries.
GPU cluster manager for running and managing LLMs.
Library for calculating great circle distance.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.