Tutorial on Python time-series model deployment.
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A C library for product recommendations/suggestions using collaborative filtering (CF).
Bayesian optimization in high-dimensions via random embedding.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
Extensible system for analyzing and manipulating natural language.
Deep learning based facial detector for Python coming with facial landmarks.
Testing infrastructure for LLM and agentic applications with collaborative evaluation.
Robust Bayesian Optimization framework.
Open-source software for robot simulation, integrated with OpenAI Gym.
Text processing tools and wrappers (e.g. Vowpal Wabbit).
Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
A tool to help you configure, organize, log and reproduce experiments.
For calculating global feature importance using Shapley values.
A CLI utility to train and deploy ML/DL models on AWS SageMaker.
Topic Modelling the Sarah Palin emails.
High-performance, high-precision CPU, GPU, and memory profiler for Python.
Simple and efficient library to minimize expensive and noisy black-box functions.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open-source tool for recording screen and audio activity with AI-powered search, automations, and support for local LLMs. opensource.
Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.