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Open standard for machine learning interoperability
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
A library for efficient similarity search and clustering of dense vectors.
🦜🔗 Build context-aware reasoning applications
LlamaIndex is the leading framework for building LLM-powered agents over your data.
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
Streamlit — A faster way to build and share data apps.
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
Fast Python Collaborative Filtering for Implicit Feedback Datasets
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
PyTorch Quantization Aware Training Example
Evaluating the condition of a vehicle
A mono-repository containing a packaged machine learning model and simple REST API.
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
Flexible-Jekyll is a simple and clean theme for Jekyll
A ROS package for 2D obstacle detection based on laser range data.