Popular GitHub Repositories for Mix Precision

Control GenAI interactions with power, precision, and consistency using LLM-native Conversation Design paradigms

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

A collaboratively written review paper on deep learning, genomics, and precision medicine

High-fidelity performance metrics for generative models in PyTorch

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Neural Network Compression Framework for enhanced OpenVINO? inference

LightweightMMM ? is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

ToolUniverse is a collection of biomedical tools designed for AI agents

Precision Medicine Knowledge Graph (PrimeKG)

Microsoft Automatic Mixed Precision Library

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"