github.com
Hyperparameter optimization framework, inspired by Optuna.
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github.com
A high-level machine learning library in the vein of Keras.
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GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Library for calculating great circle distance.
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Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
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The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
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Beer glass classifier created with Synaptic.
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Fundamentals of machine learning in python.
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Run LLM backends, APIs, frontends, and services with one command.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Framework for distributed hyperparameter optimization.
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Making large AI models cheaper, faster and more accessible.