Universal LLM Deployment Engine with ML Compilation

LLM101n: Let's build a Storyteller

An open access book on scientific visualization using python and matplotlib

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

A Gradio web UI for Large Language Models.

Collection of leetcode company tag problems. Periodically updating.

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

FUSE filesystem over Google Drive

100 Days of ML Coding

On-device AI across mobile, embedded and edge for PyTorch

Tools for merging pretrained large language models.

A large-scale information-rich web dataset, featuring millions of real clicked query-document labels

Notes monorepo for the UniBO Artificial Intelligence MSc.

Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

The fastai book, published as Jupyter Notebooks

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A Bulletproof Way to Generate Structured JSON from Language Models

LLM training in simple, raw C/CUDA

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

Open source platform for the machine learning lifecycle

Open-Sora: Democratizing Efficient Video Production for All

Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!