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Highlights
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Stars
LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/l…
The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
High accuracy RAG for answering questions from scientific documents with citations
A high-throughput and memory-efficient inference and serving engine for LLMs
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Portable file server with accelerated resumable uploads, dedup, WebDAV, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file, no deps
Tools to Design or Visualize Architecture of Neural Network
Latex code for making neural networks diagrams
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
https://huyenchip.com/ml-interviews-book/
💯 Curated coding interview preparation materials for busy software engineers
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
All Algorithms implemented in Python
Implementation of a real-time event-driven Vehicle Detection & Counting system using OpenCV & YOLO v3 (608 x 608)
Implementation of Auto Encoding Transformers for Art Style Recognition
A tool made using ReactJS to visualise algorithms!
PyTorch Tutorial for Deep Learning Researchers
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
VIP cheatsheets for Stanford's CS 230 Deep Learning
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks