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A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Non Max Suppression algorithm implementation in Python, Tensorflow and PyTorch

Data-Centric Pipelines and Data Versioning

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ suppo…

PyTorch Implementation of Sparse DETR

End-to-End Object Detection with Transformers

🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

High-quality Neural Networks for Computer Vision 😎

Implementing DropBlock a better Dropout for Conv Nets in PyTorch!

torchview: visualize pytorch models

Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.

Efficient Multi-Object Tracking for Edge devices

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

Scope of this project is to use Yolov4 and Deep Sort implementation in Tensorflow to detect, track and count people getting on and off a metropolitan train

A Python package to assess and improve fairness of machine learning models.

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

OpenMMLab Text Detection, Recognition and Understanding Toolbox

The Memory layer for your AI apps

☁️ 🚀 📊 📈 Evaluating state of the art in AI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Reading Wikipedia to Answer Open-Domain Questions

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

Most popular metrics used to evaluate object detection algorithms.

OpenMMLab Rotated Object Detection Toolbox and Benchmark

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