ydeh22 Goto Github PK

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

systolicarray_fpga

Systolic matrix multiplication kernel implemented on Xilinx PYNQ FPGA board

t-des

Project consists of individual modules of encryption and decryption units. Standard T-DES algorithm is implemented. Presently working on to integrate DES with AES to develop stronger crypto algorithm and test the same against Side Channel Attacks and compare different algorithms.

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

teach-me-quantum

⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

temporalcnn

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-safari-course

⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow-tutorials-1

Simple tutorials using Google's TensorFlow Framework

tensorflowkeras-reinforcementlearning

A tutorial walking through the use of Keras-RL for reinforcement learning with OpenAI gym.

termlink

Prepare an ontology and send it to the Precision Health Cloud.

tesla

Tesla custom integration for Home Assistant. This requires a refresh token be generated by third-party apps to login.

teslajson

Simple Python class to access the Tesla JSON API

teslajsonpy

teslapy

A Python module to use the Tesla Motors Owner API

text-autoaugment

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

the-elements-of-statistical-learning

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

the-elements-of-statistical-learning-python-notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

thermostat

Collection of NLP model explanations and accompanying analysis tools

thesis-implementation

Cryptanalysis of Keystream Generators using Machine Learning Techniques: Implementation

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tiatoolbox

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

time_delayed_feedback_oqs

Code for simulating time-delayed feedback quantum systems, specially the results of arXiv:1907.02259

tiqs

Translational Invariant Open Quantum Symmetries on generalised lattice models

tmatrixopt

An electromagnetic solver capable of simulating and optimizing 1D (thin-layer) structures via the semi-analytical transfer matrix method. For example, one can simulate and optimize broadband distributed Bragg reflectors, anti-reflection coatings, optical bandpass filters, and photovoltaic devices.

topological-photonics

Work I am doing while at Simon Labs@UChicago with Professor Jon Simon and Logan Clark (PhD).