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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

deep-learning-based-position-detection-for-hydraulic-cylinders-using-scattering-parameters

deep-learning-based-traffic-light-detection

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deeplearning.ai-tensorflow-developer-course

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

detr

End-to-End Object Detection with Transformers

fgvc_aircraft

gcp-ml-02-advanced-ml-with-tf-on-gcp

Materials (but no videos) from Coursera's "Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization"

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kitti_to_yolo

EDA of kitti dataset and convert label formats from kitti to yolo format (including depth)

machine-learning-engineering-for-production-mlops-specialization

Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mmdetection

OpenMMLab Detection Toolbox and Benchmark

open-source-models-with-hugging-face

https://learn.deeplearning.ai/courses/open-source-models-hugging-face/lesson/1/introduction

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

pedestron

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

pictor-ppe

prompt-engineering-for-vision-models

https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/#

quantization-in-depth

seminar-current-topics-in-deep-neural-networks

slambook2

edition 2 of the slambook

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

tensorflow_advance_techniques

deeplearning.ai Tensorflow advance techniques specialization

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.