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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.
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C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
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ChatGLM2-6B is the second-generation version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.
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Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.
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Open source web client for ChatGPT-style assistants, API keys, prompts, and self-hosted AI chat.
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A PyTorch based deep learning library for drug pair scoring.
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Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
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Python library for data-centric AI and machine learning with messy, real-world data and labels.
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Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
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A machine learning library for Clojure built on top of Weka and friends.
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Interop with R and Renjin (R on the JVM).
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Natural Language Processing in Clojure (opennlp).
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Open-source library for implementing CI/CD in machine learning projects.
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A curated list of language modeling researches for code and related datasets.
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Open Code LLMs for Code Understanding and Generation.
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Open-source tool that lets you package ML models in a standard, production-ready container.
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A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
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Track, log, visualize and evaluate your LLM prompts and prompt chains.