#
jagdeeshgughalot
Follow
Starred repositories
52
results
for source starred repositories
written in Python
Clear filter
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 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.