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deyh2020's Projects

transmogrifai icon transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

transverseisingmodelqiskit icon transverseisingmodelqiskit

Using a Variational Quantum Eigensolver to find the ground state energy of an entangled 4-qubit system using the Transverse Field Ising Model

trt_pose icon trt_pose

Real-time pose estimation accelerated with NVIDIA TensorRT

trt_pose_hand icon trt_pose_hand

Real-time hand pose estimation and gesture classification using TensorRT

tsfresh icon tsfresh

Automatic extraction of relevant features from time series:

tts icon tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

tutorial-git icon tutorial-git

Repo for the git turorial for the Digital Twin project.

tutorials icon tutorials

Repository containing the Kornia related tutorials

tvs_prune icon tvs_prune

TVS Prune source code. Includes pruning scripts and ipython notebooks for plotting figures. Requires >16GB RAM.

twin-istanbul icon twin-istanbul

A template digital twin for smart cities, created for Istanbul with ❤️

twingraph icon twingraph

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

twistwantb icon twistwantb

Building tight-binding model for generic twisted graphene

two-level-quantum-systems icon two-level-quantum-systems

Here we explore calculating the scattering rate for a two-level quantum system. Utilizes Steady state solutions of Optical Bloch Equations. Useful in quantum computing

twoclasstsne icon twoclasstsne

Pre-Trained Imagenet based two class T-SNE plot using Openfreameworks

uav-digital-twin icon uav-digital-twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

unas icon unas

Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

understand-transposed-convolutions-and-build-conv2dtranspose-layer-from-stratch icon understand-transposed-convolutions-and-build-conv2dtranspose-layer-from-stratch

In generative adversarial network (GAN), convolutions and transposed convolutions are both heavily involved. While convolutions play an important role in the discriminator, transposed convolutions are the primary building blocks for the generator. The tensorflow API - Keras - has made building GAN a very convenient process. However, sometimes it ca

understanding-decoding icon understanding-decoding

The data and the PyTorch implementation for the models and experiments in the paper "Language Model Decoding as Likelihood–Utility Alignment".

unicorn icon unicorn

Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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