Popular GitHub Repositories for Weight Average

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

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

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.

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

Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for lucene,solr,elasticsearch,opensearch

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

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

? [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

SlickGPT is a light-weight "use-your-own-API-key" web client for the OpenAI API written in Svelte. It offers GPT-4 integration, a userless share feature and other superpowers.

A light-weight, power efficient, and general purpose convolutional neural network

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

A flexible, adaptive classification system for dynamic text classification

[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

? CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena