7ayushgupta
Robotics | Programming | IITK
@AUV-IITK @iitk-consultIndian Institute Of Technology, Kanpur
7ayushgupta's Stars
jesseduffield/lazydocker
The lazier way to manage everything docker
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
aleju/imgaug
Image augmentation for machine learning experiments.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
online-ml/river
🌊 Online machine learning in Python
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
wzchen/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
krishnakumarsekar/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
astooke/rlpyt
Reinforcement Learning in PyTorch
tensorflow/quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
caseykneale/VIMKiller
Exiting VIM is hard; sometimes we need to take drastic measures
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
qianguih/voxelnet
This is an unofficial inplementation of VoxelNet in TensorFlow.
NVlabs/geomapnet
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
leggedrobotics/raisimLib
RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH
AboudyKreidieh/h-baselines
A repository of high-performing hierarchical reinforcement learning models and algorithms.
qosf/qml-mooc
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
google-research/dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
bcs-iitk/BCS_Workshop_Apr_20
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
abhijitmajumdar/Quadcopter_simulator
A quadcopter simulator with single and multi-quad simulations
francescopittaluga/invsfm
InvSFM: Revealing Scenes by Inverting Structure from Motion Reconstructions [CVPR 2019]
online-ml/chantilly
🍦 Deployment tool for online machine learning models
zju3dv/RVL-Dynamic
Code for "Prior Guided Dropout for Robust Visual Localization in Dynamic Environments" in ICCV 2019
karttikeya/awesome-human-pose-prediction
A selection of State Of The Art research papers (and code) on human locomotion (pose + trajectory) prediction (forecasting)
juanmed/quadcopter-simulation
Simple, easy to use quadrotor simulator.
AUV-IITK/triton
Software Stack for the new vehicle
iitk-consult/who-dashboard
Source code for homepage