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🧑🏫 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, ... 🧠
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
A high-level toolbox for using complex valued neural networks in PyTorch
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
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Simple Online Realtime Tracking with a Deep Association Metric
DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera
End-to-End Object Detection with Transformers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Materials (but no videos) from Coursera's "Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization"
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
🏅 Collection of Kaggle Solutions and Ideas 🏅
EDA of kitti dataset and convert label formats from kitti to yolo format (including depth)
Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)
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"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
OpenMMLab Detection Toolbox and Benchmark
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.
https://learn.deeplearning.ai/courses/open-source-models-hugging-face/lesson/1/introduction
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/#
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.