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Github repo- AI ML LLM Agentic AI, Multimodal code, theory, research, projects

Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, Agentic AI, #datascience research for solving real world problems using…

Labeled Agentic AI architecture connecting human direction, specialized agents, reasoning and orchestration, memory and RAG, enterprise data, models and cloud, MCP and workflows, governance, observability, security, and industry applications.

Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, Agentic AI, #datascience research for solving real world problems using classical #supervised and #DeepLearning #NeuralNet based models including #Foundation #LLM and #multimodal models. https://github.com/indusagentai

Covers #ANN, DNN, #BERT, Finetune LLM #Llama, Mistral, Langchain, #NLP, LDA Topic modelling, tokenization, Recommender Systems, Computer Vision – #CNN, #RNN, Transfer learning, Fully Connected NN, #TimeSeries Forecasting – #ARIMA(X), SARIMA(X), #SyntheticData Generation – using probability distribution sampling

#Optimization – Formulation, excel solver, Genetic Algorithm, Evolutionary search, #Stacking – Vecstack, Dimensionality Reduction – #PCA, LDA, Detailed #EDA using pandas, numpy.

All the best #papers (47) by #Hinton, #Lecun, #Bengio et al

Sample Projects – #Disease #Prediction using Regression Synthetic Data

Other Projects – #RoboAdvisor Algo or building multi-asset portfolio, US Fed FOMC Meeting minutes – Applying NLP algorithms to #Predict #FedFundRates decision

Models built from scratch using #pytorch #tensorflow #keras numpy

Hope this is useful for others in #opensource community. All work in progress, more updates as I finish learning and coding, especially multimodal models.

I’ve also listed some online courses I did from online platforms.

About IndusAgentAI

Research, learning, and innovation—open to everyone.

Explore Agentic AI concepts, industry applications, startup ideas, practical projects, and responsible implementation.