bhavikm

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pandas_exercises

Practice your pandas skills!

fiftyone

The open-source tool for building high-quality datasets and computer vision models

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

pandas-cookbook

Recipes for using Python's pandas library

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

ML-Notebooks

:fire: Machine Learning Notebooks

deepsparse

Sparsity-aware deep learning inference runtime for CPUs

Libation

Libation: Liberate your Library

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

EfficientDet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

data-centric-ai

Resources for Data Centric AI

review_object_detection_metrics

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.

stable-diffusion-webui-feature-showcase

Feature showcase for stable-diffusion-webui

Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

NLP_Quickbook

NLP in Python with Deep Learning

generators

Generator Tricks for Systems Programmers (Tutorial)

Deep-Residual-Unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

pytorch-accelerated

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

Topics-In-Modern-Statistical-Learning

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

torchuq

A library for uncertainty quantification based on PyTorch

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

object-detection-metrics

Python code for analysing object detection metrics

azureml-scaffolding

an-introduction-to-statistical-learning-2e-code

Solutions and code examples from An Introduction to Statistical Learning (Second Edition) by James, Witten, Hastie, and Tibshirani.

dstoolkit-azoda

Azure Object Detection Accelerator. A repo for quickly and easily setting up a sample object detection project with training, labelling, inference, testing and deployment. The repo uses a synthetic dataset by default and shows how to use your own labelled or unlabelled dataset

kagoole

Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.

effdet-map-samples