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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

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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"

groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

ip-adapter

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

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

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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".