sakira
My primary interest is in data science all along, particularly, to build solutions by leveraging bleeding-edge machine learning methods.
NokiaEspoo
Pinned Repositories
BAUC
bayesian operator curve
bd_district_statistics_dataset
Bangladesh District Statistics of 64 Districts from the 2011 census by Bangladesh Bureau of Statistics (BBS)
beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
cdiGMP
chex
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Crash_course_on_RL
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
DeepLearningModels
Implementation of LeNet-5 in Tensorflow
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
QML
Tutorials for quantum machine learning
sakira's Repositories
sakira/DeepLearningModels
Implementation of LeNet-5 in Tensorflow
sakira/QML
Tutorials for quantum machine learning
sakira/bd_district_statistics_dataset
Bangladesh District Statistics of 64 Districts from the 2011 census by Bangladesh Bureau of Statistics (BBS)
sakira/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
sakira/BAUC
bayesian operator curve
sakira/beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
sakira/chex
sakira/Crash_course_on_RL
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
sakira/cuda
parallel programming in cuda
sakira/drake
A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.
sakira/input-inference-for-control
Input Inference for Control (i2c), a control-as-inference framework for optimal control
sakira/jax-workshop
JAX workshop for Simo Särkkä's group
sakira/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
sakira/JSL
Jax SSM Library
sakira/nlp
sakira/NLP-for-RL
sakira/particles
Sequential Monte Carlo in python
sakira/probability
Probabilistic reasoning and statistical analysis in TensorFlow
sakira/pytorch-complex-tensor
Unofficial complex tensor and scalar support for Pytorch
sakira/qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
sakira/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
sakira/sakira
sakira/sakira.github.io
MyGitHubWebsite
sakira/SensorFusionSLAM
Localization
sakira/sequential-parallelization-examples
This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
sakira/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
sakira/smc-pgm
Code implementing sequential Monte Carlo algorithms for probabilistic graphical models described in Naesseth, Lindsten and Schön, "Sequential Monte Carlo for Graphical Models", Advances in Neural Information Processing (NIPS) 27, 2014.
sakira/SPCUP2022
sakira/tensorflow
Computation using data flow graphs for scalable machine learning
sakira/TensorflowInPractice