Pinned Repositories
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
coursera-Applied-Data-Science-with-Python
Repository for coursera specialization Applied Data Science with Python by University of Michigan
erum_data_data
IEA-GAN
Intra-Event Aware GAN with Relational Reasoning for Efficient High-Resolution Detector Simulation
LOGAN
The unofficial implementation of LOGAN: Latent Optimisation for Generative Adversarial Networks
Neural-PID-Estimator
Bayesian approach for combined Particle Identification
population-based-training
Hyperparameter tuning algorithm implemented in Keras and Pytorch
PyCall.jl
Package to call Python functions from the Julia language
PyTR
Python to compute Topological Recursion Amplitudes
Twitter-Streaming-Sentiment-Analysis-using-Pyspark-and-Pykafka
My capstone project at CODATA, IoT and Big Data 2019
Baran-phys's Repositories
Baran-phys/LOGAN
The unofficial implementation of LOGAN: Latent Optimisation for Generative Adversarial Networks
Baran-phys/IEA-GAN
Intra-Event Aware GAN with Relational Reasoning for Efficient High-Resolution Detector Simulation
Baran-phys/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
Baran-phys/erum_data_data
Baran-phys/PyTR
Python to compute Topological Recursion Amplitudes
Baran-phys/Twitter-Streaming-Sentiment-Analysis-using-Pyspark-and-Pykafka
My capstone project at CODATA, IoT and Big Data 2019
Baran-phys/Neural-PID-Estimator
Bayesian approach for combined Particle Identification
Baran-phys/population-based-training
Hyperparameter tuning algorithm implemented in Keras and Pytorch
Baran-phys/-ML-Exercises
My adventure in Machine Learning
Baran-phys/Adabound-Optimizer
Implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" method in tensorflow.
Baran-phys/BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
Baran-phys/clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps
Baran-phys/fitter
Fit data to many distributions
Baran-phys/global-self-attention-network
A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Baran-phys/google-research
Google Research
Baran-phys/graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
Baran-phys/graph_nets
Build Graph Nets in Tensorflow
Baran-phys/HEPML-LivingReview
Living Review of Machine Learning for Particle Physics
Baran-phys/Image-classification-transfer-learning
Categorizing food and grocery products using Transfer Learning from Inception V3
Baran-phys/keras-adabound
AdaBound optimizer in Keras
Baran-phys/Keyword-Transformer
Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"
Baran-phys/keyword-transformer-1
PyTorch reimplementation of "Keyword Transformer: A Self-Attention Model for Keyword Spotting"
Baran-phys/LandauGinzburgCategories.jl
Baran-phys/Multimodal-Math-Pretraining
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
Baran-phys/NRI
Neural relational inference for interacting systems - pytorch
Baran-phys/python_data_science_and_machine_learning_bootcamp
Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
Baran-phys/pytorch-msssim
PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
Baran-phys/topological-autoencoders
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
Baran-phys/ViViT-pytorch
Implementation of ViViT: A Video Vision Transformer
Baran-phys/x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers