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jagdeeshgughalot
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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch Tutorial for Deep Learning Researchers
Python sample codes and textbook for robotics algorithms.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Jupyter metapackage for installation, docs and chat
Image augmentation for machine learning experiments.
Python Implementation of Reinforcement Learning: An Introduction
Keras implementations of Generative Adversarial Networks.
Anomaly detection related books, papers, videos, and toolboxes
Common used path planning algorithms with animations.
A faster pytorch implementation of faster r-cnn
Keras code and weights files for popular deep learning models.
StarGAN - Official PyTorch Implementation (CVPR 2018)
Uses WiFi signals 📶 and machine learning to predict where you are
Keras implementation of RetinaNet object detection.
TensorFlow (Python API) implementation of Neural Style
Collection of reinforcement learning algorithms
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
A neural network trained to help writing neural network code using autocomplete
PyTorch implementation of UNet++ (Nested U-Net).
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.