natank1
Mathematician and algorithm researcher . Always interested in mathematical truths and numerical challenges Natan Katz
Pinned Repositories
DL-_VI
Perform VI using DL
finetunecodellama2binary
HMC_Sampler
Hybrid Monte Carlo using pytorch -python 2.7
Keras_this_and_that
KerasDotNet
Keras dot net examples
Pydata2022
Cods to be used by Aleksander & Uri for Pydata
sinc_ode_wass
Solving speech problems with neural ode and sincnet
Spectogram
Text_Tab-DL
VAE_Loss
natank1's Repositories
natank1/HMC_Sampler
Hybrid Monte Carlo using pytorch -python 2.7
natank1/Pydata2022
Cods to be used by Aleksander & Uri for Pydata
natank1/DL-_VI
Perform VI using DL
natank1/finetunecodellama2binary
natank1/sinc_ode_wass
Solving speech problems with neural ode and sincnet
natank1/Text_Tab-DL
natank1/Beta_paper
my trials for beta papaer
natank1/Keras_this_and_that
natank1/KerasDotNet
Keras dot net examples
natank1/Spectogram
natank1/VAE_Loss
natank1/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
natank1/Closed-form-of-Various-Metircs
natank1/NumSharp
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
natank1/pytorch-rbm
Restricted Boltzmann Machines (RBMs) in PyTorch
natank1/pytorch-seq2seq
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
natank1/quantum-_school
natank1/Restricted-Boltzmann-Machines
Train an RBM to infer Bars-As-Stripes patterns and other dummy examples
natank1/scikit-learn
scikit-learn: machine learning in Python
natank1/sincnet_with_neuralode
Binaric nn using neural ode & sincnet
natank1/Sponja
natank1/Twin_paradox_v
natank1/UriProjects
natank1/VAE_Gamma_Dir
natank1/VAE_Loss_analysis
natank1/volatility_prediction