sayem-eee-kuet

A_oveview_of_awesome_causality_dataset

AMSIWinterSchool2021

awesome-ai-in-finance

🔬 A curated list of awesome machine learning strategies & tools in financial market.

awesome-causality

Resources related to causality

awesome-causality-algorithms

An index of algorithms for learning causality with data

CausalModeling

Research on Causal Image Generation

CodingInterviews

This repository contains coding interviews that I have encountered in company interviews

High-Performence-Scientific-Computing

EAS 520: High Performance Scientific Computing

ML-DL-Mathematics-Youtube

Graduate level course on DL/ML

TensorFlow2.0-Examples

🙄 Difficult algorithm, simple code.

sayem-eee-kuet/CodingInterviews

This repository contains coding interviews that I have encountered in company interviews

sayem-eee-kuet/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

sayem-eee-kuet/DeepGalerkinMethod

Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)

sayem-eee-kuet/distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

sayem-eee-kuet/DLforCompMath

A repository of jupyter hub tutorials for the PIMS CRG Summer School: "Deep Learning for Computational Mathematics."

sayem-eee-kuet/Keras_ODENet

Implementation of (2018) Neural Ordinary Differential Equations on Keras

sayem-eee-kuet/L2D-learning-to-discretize-solving-1d-scalar-conservation-laws-via-deep-reinforcement-learning-

source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning

sayem-eee-kuet/Latent-ODE

Reproduction of Latent ODEs for Irregular-Sampled Time Series [arXiv 1907.03907]

sayem-eee-kuet/Machine-Learning-Study-Path

A complete ML study path, focused on TensorFlow and Scikit-Learn

sayem-eee-kuet/MathsDL-spring19

Mathematics of Deep Learning, Courant Insititute, Spring 19

sayem-eee-kuet/neural-ode

Experiments with Neural Ordinary Differential Equations on image and text classification tasks

sayem-eee-kuet/new_ml_project_template

New project template

sayem-eee-kuet/normalizing-flows

Understanding normalizing flows

sayem-eee-kuet/PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

sayem-eee-kuet/Practical_RL

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

sayem-eee-kuet/pre_stage

pre internship project

sayem-eee-kuet/probabilistic-programming

Notebooks for probabilistic programming

sayem-eee-kuet/probabilisticAI_tutorials

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)

sayem-eee-kuet/pyro_agents

Agent models implemented with Pyro

sayem-eee-kuet/PyTorch-Tutorials

sayem-eee-kuet/Quantum-Machine-Learning

sayem-eee-kuet/SpectralBias

Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).

sayem-eee-kuet/TensorFlow-2.0-Keras

TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.

sayem-eee-kuet/tensorflow-lstm-regression

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

sayem-eee-kuet/TensorFlow-Tutorials-for-Time-Series

TensorFlow Tutorial for Time Series Prediction

sayem-eee-kuet/torch-Video-Tutorials

Light your way in Deep Learning with Torch 🔦

sayem-eee-kuet/vlsi_project

The template for VLSI project