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List of awesome compiler projects and papers for tensor computation and deep learning.
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A simple, but essential Bayesian optimization package, written in Python.
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7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
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GPT Migrate team is working on adding for the agent.
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Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
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Official inference framework for 1-bit LLMs, by Microsoft. opensource.
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Accessible large language models via k-bit quantization for PyTorch.
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BigScience Large Open-science Open-access Multilingual Language Model.
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Steam Play compatibility tool to run DOS games using native Linux DOSBox
Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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Everything you need to know to build your own RAG application.
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The iOS and OS X neural network framework.
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Breeze is a numerical processing library for Scala.
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"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
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Theano based library for deep and recurrent neural networks.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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) - Self-sovereign machine learning training tool for nostr global feed. Trained models can be monetized/distributed over nostr private messages. Your pre-paid model subscribers register via lightning payments.
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Fast open framework for deep learning.
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Authors:, Dexter Storey, Ted Spare.
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Role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT.
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Model interpretability and understanding library for PyTorch.
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A general classifier module to allow Bayesian and other types of classifications.
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Library of ML-Engineering tools for rapid prototyping and experiment management.
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Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.