Model Context Protocol Servers

A resource for learning about Machine learning & Deep Learning

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

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LLM Finetuning with peft

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Python implementation of Density-Based Clustering Validation

Convolutional Neural Networks

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

The Google Cloud Developer's Cheat Sheet

An analysis of the performance of Coursera's e-learning platform between 2011 and 2017

This is all my notebooks, lab solutions, and assignments for the IBM Machine Learning Professional Certificate on Coursera.

Spatio-Temporal Clustering Benchmark for Collective Animal Behavior (1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB'21))

ST-OPTICS: Spatio-temporal clustering based on OPTICS

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering