Rahul Kumar

my-awesome-AI-bookmarks. Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

Python-Deep-Learning-Projects. Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.

draw-neural-network. Quick tool to draw fully connected neural network architectures

tf-sentiment-docker. A docker image for sentiment analysis on tensorflow

tensorflow_recommendation_engine. Using tensorflow to create a recommendation engine with DNN

rag_llm_kg. Webinar content for Empower LLMs with Knowledge Graphs

talk-on-deeplearning-for-industries. Deep Learning for various Industries

hello-quantum-world. Jupyter Notebook

footprint-database. A Footprint database in scanned and dactyloscopic format

question-classifier-cnn-tensorflow. Question classifier using cnn in tensorflow

cheatsheet-xai. Explainable AI resources

Colab_notebook_AppliedML. A colab notebook for the Applied Machine Learning

Master-Thesis-BayesianCNN. Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

awesome-mlops. A curated list of references for MLOps

tensorflow-without-a-phd. Python

Applied-Deep-Learning-with-TensorFlow. Learn applied deep learning from zero to deployment using TensorFlow 1.8+

DeepOSM. Train a deep learning net with OpenStreetMap features and satellite imagery.

behaviour-AI-bot. An AI engine which can learn your system usage behaviour and prediction the application that you will need

headlines. Automatically generate headlines to short articles

tensorflow_cookbook. Code for Tensorflow Machine Learning Cookbook

Machine-Learning-Tutorials. machine learning and deep learning tutorials, articles and other resources

MultiModalBiometric. Final year project