Popular GitHub Repositories for Average Precision

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.

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

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

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.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

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.

High-fidelity performance metrics for generative models in PyTorch

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Microsoft Automatic Mixed Precision Library

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Precision Medicine Knowledge Graph (PrimeKG)

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.

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

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"

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.

This repository hosts a suite of specialized agents designed to power your brainstorming sessions. Each agent brings a unique perspective and tailored approach to generate creative, targeted solutions for diverse challenges. Choose the right agent for your specific brainstorming needs and unlock innovative ideas with precision.