tallamjr/iit-madras-DLCV

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tallamjr/iit-madras-DLCV

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Material for IIT Madras Deep Learning for Computer Vision

cmudb-15-445

Material for CMU's Intro to Database Systems (Fall 2019) 15-445/645

barberbook

Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book

cmudb-15-721

Material for CMU's Advanced Database Systems (Spring 2020) 15-721

astronet

Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series

Jupyter Notebook

stanford-cs234

Stanford CS234 : Reinforcement Learning

iit-madras-5G-standard

IIT Madras Course on LDPC and Polar Codes for the 5G Standard

mit-6006

MIT's Introduction to Algorithms [Spring 2020] 6.006

tubingen-probabilistic-ml

Material for Philipp Hennig's course: Probabilistic Machine Learning, at Tubingen

Jupyter Notebook

amath301

Notes & Supplementary Files for AMATH301, Beginning Scientific Computation, University of Washington

dotfiles

Vim, tmux and other configuration files.

dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

clic

Challenge for Learning Image Compression, 2021

kccv

Collection of Kaggle Competitions for Computer Vision

Jupyter Notebook

cheatsheets

Collection of cheatsheets

helloxqemu

Learning how to use qemu for testing rust cross-compiling

teaching-matlab

Materials used in ISD training course - Introduction to MATLAB

computing-for-scientists-book

Exercises and code from Computing for Scientists Book.

DataScienceBowl

Jupyter Notebook

books

jetspark

Spark cluster on Jetson TX2 mini-project

minitflite-cpp-example

Minimal TFLite example using C++ API

imperial-scientific-c

Imperial College London Scientific Computing in C Course, 2016.

rustbook

Code snippets and material for following along with the Rust programming book

udacity-tflite

Material and source code for Udacity's Introduction to TensorFlow Lite

shannon

Implementation of various compression algorithms

pup

Rusty ML on video data 🦀 📹

tubingen-data-compression

Data Compression With Deep Probabilistic Models Course by Prof. Robert Bamler at University of Tuebingen.

Jupyter Notebook