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The memory layer for Personalized AI.
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Memory Manager is a free tool to help automate the download process of your Snapchat memories. The program organizes photos/videos by date, merges overlays (text/stickers), tracks the download progress, and retries failures at the end. Pause/resume anytime. All done locally for added privacy. Windows & Mac supported. No more manual downloading!
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Flexible Deep Learning Framework in Julia.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
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JARVIS, a system to connect LLMs with ML community.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.
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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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Integrate LLM technology quickly and easily into your apps.
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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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C, C++, and Python tools for named entity recognition and relation extraction.
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A Julia package for fitting (statistical) mixed-effects models.
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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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No need to keep checking your training, just one import line and you'll know the second it's done.
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Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
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A modular active learning framework for Python, built on top of scikit-learn.
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Visual testing tool for MCP servers.
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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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Global, black box optimization engine for real world metric optimization by Yelp.
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List of molecular design using Generative AI and Deep Learning.
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Montague is a semantic parsing library for Scala with an easy-to-use DSL.
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Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.