baran-phys Goto Github PK

-ml-exercises

My adventure in Machine Learning

adabound-optimizer

Implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" method in tensorflow.

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

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

cryptocurrency-analysis-python

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

erum_data_data

fitter

Fit data to many distributions

global-self-attention-network

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

google-research

Google Research

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

graph_nets

Build Graph Nets in Tensorflow

hepml-livingreview

Living Review of Machine Learning for Particle Physics

iea-gan

Intra-Event Aware GAN with Relational Reasoning for Efficient High-Resolution Detector Simulation

image-classification-transfer-learning

Categorizing food and grocery products using Transfer Learning from Inception V3

keras-adabound

AdaBound optimizer in Keras

keyword-transformer

Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"

keyword-transformer-1

PyTorch reimplementation of "Keyword Transformer: A Self-Attention Model for Keyword Spotting"

landauginzburgcategories.jl

logan

The unofficial implementation of LOGAN: Latent Optimisation for Generative Adversarial Networks

lstm-bitcoin-prediction

Deceptive Deep Learning Models for Predicting the Price of Bitcoin

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"

neural-pid-estimator

Bayesian approach for combined Particle Identification

nri

Neural relational inference for interacting systems - pytorch

population-based-training

Hyperparameter tuning algorithm implemented in Keras and Pytorch

pycall.jl

Package to call Python functions from the Julia language

python-for-informatics

Solutions to Python for Informatics: Exploring Information by Charles Severance

python_data_science_and_machine_learning_bootcamp

Jupyter notebook for Udemy course: Python data science and machine learning bootcamp

pytorch-msssim

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss