Neoanarika
Final year NUS Mathematics + Data Science. Researching generative models and bayesian deep learning. Passionate about machine learning research.
Collaborative, Learning, and Adaptive Robots (CLEAR)Singapore
Pinned Repositories
awesome-list-information-geometry
This is an awesome list for information geometry. This is my curation of resources on this topic as such there are bound to be things I missed, please contribute if you think I missed anything.
CNN-using-Swish
CNN trained on MNIST using swish
Implementing-the-PowerSign-and-AddSign-rule
Implementing the update rule found in Neural Optimizer search with Reinforcement learning
inverse-probelms-urops
Keras-Implementation-of-1D-CNN-for-sentence-classification
This github repo uses keras 2.0 to create a 1D CNN for sentiment analysis from the IMDB dataset
MBTI
MBTI text classifer trained on the Kaggle MBTI dataset
object-tracking-detection
Real time object tracking and detection on raspberry pi
Replicating-Ian-Goodfellow-GAN-
Replicating Ian Goodfellow GAN on pytorch
Searching-for-activation-functions
NIPS Implementation challenge 2017 for "Searching for activation functions" paper by Google Brain
torchexplainer
Implementing integrated gradients for pytorch
Neoanarika's Repositories
Neoanarika/Keras-Implementation-of-1D-CNN-for-sentence-classification
This github repo uses keras 2.0 to create a 1D CNN for sentiment analysis from the IMDB dataset
Neoanarika/awesome-list-information-geometry
This is an awesome list for information geometry. This is my curation of resources on this topic as such there are bound to be things I missed, please contribute if you think I missed anything.
Neoanarika/inverse-probelms-urops
Neoanarika/CTA200_2022
Neoanarika/adaptive_sampling
Neoanarika/awesome-artificial-life
A curated list of awesome Artificial Life simulators, papers and resources.
Neoanarika/awesome-list-bayesian-stats
🕶 Awesome list template with CI and required conventions out of the box!
Neoanarika/code-cs-fairness
Neoanarika/DGflow
Pytorch implementation of DGflow (ICLR 2021).
Neoanarika/fast_template
A template for really easy blogging with GitHub Pages
Neoanarika/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Neoanarika/flax
Flax is a neural network library for JAX that is designed for flexibility.
Neoanarika/FYP
Neoanarika/hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Neoanarika/MA4270-project
Neoanarika/mlDoedMl.github.io
Trying to organise and checkpoint my learning
Neoanarika/neoanarika
Neoanarika/neoanarika.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Neoanarika/numericalAlgo
Numerical Algorithms for MA2213 in NUS
Neoanarika/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
Neoanarika/probml-data
Datasets associated with pyprobml
Neoanarika/probml-notebooks
Notebooks for "Probabilistic Machine Learning" book
Neoanarika/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Neoanarika/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Neoanarika/PytorchTraining
Exercise files for Deep Learning with Pytorch
Neoanarika/sngan_projection
GANs with spectral normalization and projection discriminator
Neoanarika/SPS-ASPEC-Python-Library
Turns ur data into plts and performs error correction and signal processing for ur atomic spectra data for SPS2173
Neoanarika/SPS2173-Atom2Molecules-Python-Code
A2M code
Neoanarika/tsag
A time series anomaly generation tool for quickly generating anomalies in time series machine learning problems.
Neoanarika/VitCIodineClockRxn