Sanjay Kumar PhD's repositories
AI_DL_ML_Repo
Deep Learning Projects on TensorFlow and Keras
approachingalmost
Approaching (Almost) Any Machine Learning Problem
azure-docs
Open source documentation of Microsoft Azure
data-science-popular-algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
decision-tree-python
Decision tree implementation from scratch
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
DeepLearningInFinance
Repository for Deep Learning In Finance
digits-recognizer-kubeflow
Sample MLOps Workflow: Recognizing Digits with Kubeflow
fashion-mnist-tf
Code for MNIST projects using TensorFlow and Keras.
machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
MachineLearningDesigner
This repo hosts samples of Azure Machine Learning designer.
MCW-Analyzing-text-with-Azure-Machine-Learning-and-Cognitive-Services
MCW Analyzing text with Azure Machine Learning and Cognitive Services
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
mlp-regression-template
Example repo to kickstart integration with mlflow pipelines.
multivariate-time-series-anomaly-detection
Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across various industries.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorchTutorial
PyTorch Tutorials from my YouTube channel
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Artificial-Intelligence-And-Data-Science-Pro
Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet