Top Repositories
This is the solution for 2nd rank in Kaggle competition: Feedback Prize - Evaluating Student Writing.
Brain Segmentation on MRBrains18
Notes and assignment solution to http://cs231n.stanford.edu
1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
Modified EfficientNet to use 3D Convolution
Repositories
36CRoPS (TMLR)
No description provided.
Solution to programming assignments for Practical Reinforcement Learning
This is the solution for 2nd rank in Kaggle competition: Feedback Prize - Evaluating Student Writing.
Brain Segmentation on MRBrains18
Notes and assignment solution to http://cs231n.stanford.edu
No description provided.
No description provided.
Segmentation models with pretrained backbones. PyTorch.
[WIP] pytorch implementation of paper "SRFlow: Learning the Super-Resolution Space with Normalizing Flow"
No description provided.
Modified EfficientNet to use 3D Convolution
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
chaii: hindi and tamil question answering
Pytorch implementation of DCGAN and trained on Cat Dataset
Official implementation "ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations"
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Datasets, Transforms and Models specific to Computer Vision
Repository with content of BIASlab website for Hugo static site generator.
Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
My Solutions to Machine Learning competitions on Kaggle, Analytics Vidhya etc
Make your first open source contribution this Hacktoberfest!
No description provided.
Report of all Sessions held at Cyber Labs