PRISHIta123
MEng CS @CornellUniv | Prev: BTech CSE @VITUni | GSoC @FrameNetBrasil | Research @carboncopies
Cornell University
PRISHIta123's Stars
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
podgorskiy/ALAE
[CVPR2020] Adversarial Latent Autoencoders
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
asheeshcric/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
alex04072000/ObstructionRemoval
[CVPR 2020] Learning to See Through Obstructions
PRBonn/lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
titu1994/keras-squeeze-excite-network
Implementation of Squeeze and Excitation Networks in Keras
Vladkryvoruchko/PSPNet-Keras-tensorflow
TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet
arthurdouillard/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
fooof-tools/fooof
Parameterizing neural power spectra into periodic & aperiodic components.
yewzijian/RPMNet
RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
bamos/thesis
Differentiable Optimization-Based Modeling for Machine Learning
aryashah2k/Quantum-Computing-Collection-Of-Resources
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
smilli/research-advice
articles about research and phd advice
nbara/python-meegkit
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
zudi-lin/pytorch_connectomics
PyTorch Connectomics: segmentation toolbox for EM connectomics
vishwesh5/Quantum-Machine-Learning
Notebooks from University of Toronto's Quantum ML MOOC
sbillburg/CRNN-with-STN
implement CRNN in Keras with Spatial Transformer Network
DHZS/tf-dropblock
TensorFlow implementation of DropBlock
niranjanreddy891/Object-Detection-using-LiDAR
This repo detect objects automatically for LiDAR data
ashishpatel26/Meta-Learning-
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
advaitsave/Medical-Imaging-Semantic-Segmentation
This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl
goktug97/nes-torch
Minimal PyTorch Library for Natural Evolution Strategies
fadymedhat/MCLNN-theano
Masked ConditionaL Neural Networks