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Reinforcement learning using Markov Decision Processes.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
A library for machine learning that builds predictions using a linear regression.
A library for machine learning that builds predictions using a linear regression.
Ask questions to your documents without an internet connection, using the power of LLMs.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
Qwen chat interface for using Alibaba's AI models, prompts, and assistant-style conversations.
Works with speech, voice, music or other audio using machine-learning models.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
Write Advance Articles using Multiple AI Models like GPT4, Gemini, Deepseek and grok.
Works with speech, voice, music or other audio using machine-learning models.
A C library for product recommendations/suggestions using collaborative filtering (CF).
Works with speech, voice, music or other audio using machine-learning models.
For calculating global feature importance using Shapley values.
A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Open-source Python library designed to make it extremely easy to build and run agents using just a few lines of code.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Create professional videos using just a still image with text or audio powered by AI.
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.