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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hyperspectral-autoencoders

Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

license-super-resolution

A License Plate Image Reconstruction Project in Tensorflow2

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

models

A collection of pre-trained, state-of-the-art models in the ONNX format

nn-svg

Publication-ready NN-architecture schematics.

probes-handling-in-gstreamer-pipelines

This is a brief post explaining the concept of probes and its usage w.r.t GStreamer pipelines

python-guide

Python best practices guidebook, written for humans.

pytorch_geometric

Graph Neural Network Library for PyTorch

QuIP provides an interactive environment for computing and presenting images and image sequences, manipulating and storing arbitrary data, and general scientific computing and plotting. The current release supports unix-like operating systems (tested on Linux and Mac OSX), and Apple's iOS mobile operating system. GPU acceleration is supported with either CUDA or OpenCL. There is built-in support for psychophysical experimentation, with general-purpose staircase routines and analysis of psychometric functions.

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