chen-xin-94's repositories
Prompt-Engineering-for-Vision-Models
https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/#
Open-Source-Models-with-Hugging-Face
https://learn.deeplearning.ai/courses/open-source-models-hugging-face/lesson/1/introduction
annotated_deep_learning_paper_implementations
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
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_sort
Simple Online Realtime Tracking with a Deep Association Metric
detr
End-to-End Object Detection with Transformers
diffusers
๐ค Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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
๐ Collection of Kaggle Solutions and Ideas ๐
kitti_to_yolo
EDA of kitti dataset and convert label formats from kitti to yolo format (including depth)
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.
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
slambook2
edition 2 of the slambook
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
transformers
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ultralytics
NEW - YOLOv8 ๐ in PyTorch > ONNX > CoreML > TFLite
yolov10
YOLOv10: Real-Time End-to-End Object Detection
yolov5
YOLOv5 ๐ in PyTorch > ONNX > CoreML > TFLite