Pinned Repositories
ailab
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
AugLy
A data augmentations library for audio, image, text, and video.
BASS
Bayesian Adaptive Superpixel Segmentation (ICCV 2019)
cnn-visualization
Visualize How Convolutional Neural Networks Work with Keras
coding-interview-university
A complete computer science study plan to become a software engineer.
ComparisonDetector
The implement for Comparison Detector: Convolutional Neural Networks for Cervical Cell Detection in the Limited-data Scenario.
demo
dsb2018_topcoders
DSB2018 [ods.ai] topcoders
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fastai2
Temporary home for fastai v2 while it's being developed
ramchandracheke's Repositories
ramchandracheke/ailab
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
ramchandracheke/AugLy
A data augmentations library for audio, image, text, and video.
ramchandracheke/BASS
Bayesian Adaptive Superpixel Segmentation (ICCV 2019)
ramchandracheke/coding-interview-university
A complete computer science study plan to become a software engineer.
ramchandracheke/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ramchandracheke/gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
ramchandracheke/IDEAL-ICASSP23
ramchandracheke/imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
ramchandracheke/kits21
The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge
ramchandracheke/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ramchandracheke/mmcv
OpenMMLab Computer Vision Foundation
ramchandracheke/models
Models and examples built with TensorFlow
ramchandracheke/ModelsGenesis
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
ramchandracheke/MONAI
AI Toolkit for Healthcare Imaging
ramchandracheke/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
ramchandracheke/PiCIE
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)
ramchandracheke/PixPro
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
ramchandracheke/PixPro-TF
TF2.x implementation of PixPro (Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021).
ramchandracheke/Pretext-Invariant-Representations
Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
ramchandracheke/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
ramchandracheke/pytorch-polynomial-lr-decay
Polynomial Learning Rate Decay Scheduler for PyTorch
ramchandracheke/pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
ramchandracheke/self-supervised-3d-tasks
ramchandracheke/SiT
Self-supervised vIsion Transformer (SiT)
ramchandracheke/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
ramchandracheke/stardist
StarDist - Object Detection with Star-convex Shapes
ramchandracheke/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020)
ramchandracheke/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
ramchandracheke/White-box-Cartoonization
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
ramchandracheke/ZeroCostDL4Mic
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy