The memory layer for Personalized AI.
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News and Hackathons for AI Engineers!
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!
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Flexible Deep Learning Framework in Julia.
ChatGPT Plus extension on all websites.
ChatGPT Plus extension on all websites.
Creates, rewrites or summarizes written content with language models.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
JARVIS, a system to connect LLMs with ML community.
General technology for enabling AI capabilities w/ LLMs and MLLMs.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
Integrate LLM technology quickly and easily into your apps.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Deep learning foundations and applications.
C, C++, and Python tools for named entity recognition and relation extraction.
A Julia package for fitting (statistical) mixed-effects models.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
No need to keep checking your training, just one import line and you'll know the second it's done.