A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
GPT-4 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
A high-level machine learning library in the vein of Keras.
Fast and convenient feature processing for low latency machine learning in Go.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
A Chinese segment based on Conditional Random Field.
Generative AI Takes Stereotypes and Bias From Bad to Worse provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Easy-to-use and flexible AutoML library for Python.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Feature store for machine learning.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.