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Library of ML-Engineering tools for rapid prototyping and experiment management.

Open-source project that applies AI to workplace tasks, meetings, sales, marketing, or productivity.

Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.

Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Lightweight, extensible data validation library for Python.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

ML powered analytics engine for outlier/anomaly detection and root cause analysis.

An awesome list of low- and no-code generative AI resources.

ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.

Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.

A repository of useful data science prompts for ChatGPT.

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.

A PyTorch based deep learning library for drug pair scoring.

Web framework to create vertical AI agents. FastAPI based, plugin system inspired to WordPress, admin panel, vector DB included.

Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.

Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source DMS (data management system) for powering data hubs and data portals.

Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).

Implementation of Random Forest in Common Lisp.

Open-source project that supports software development with code generation, analysis, debugging, or documentation.