awsaf49

RAFT

Best_AI_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Weighted-Boxes-Fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

nfl_impact_detection

Solution for the NFL 1st and Future - Impact Detection competition

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

NVTabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

Efficient-3DCNNs

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

push-kaggle-dataset

Github action to upload datasets to kaggle

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Chexpert

Top 1 solution of Chexpert

ctci-python-solutions

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

colabcode

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

cuml

cuML - RAPIDS Machine Learning Library

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Automold--Road-Augmentation-Library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

classification_models

Classification models trained on ImageNet. Keras.