Yash Katariya (yashk2810)

yashk2810

Geek Repo

Company:@Google

Location:Raleigh, NC

Home Page:https://yashk2810.github.io/

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Organizations
createai
google
tensorflow

Yash Katariya's repositories

Image-Captioning

Image Captioning using InceptionV3 and beam search

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DCGAN-Keras

Deep Convolutional Generative Adverserial Networks

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Semantic-Image-Segmentation

Applying the 100 Layer Tiramisu on the Camvid Dataset

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Encryption-Tool

This python program Encrypts everything with AES 256 bit algorithm.

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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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keras-applications

Reference implementations of popular deep learning models.

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keras-io

Keras documentation, hosted live at keras.io

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keras-preprocessing

Utilities for working with image data, text data, and sequence data.

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setup.py

📦 A Human's Guide to setup.py.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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benchmarks

A benchmark framework for Tensorflow

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Cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

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docs

TensorFlow documentation

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examples

TensorFlow examples

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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models

Models and examples built with TensorFlow

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OpenFermion

The electronic structure package for quantum computers.

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openmrs-core

OpenMRS API and web application code

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qsim

Schrödinger and Schrödinger-Feynman simulators for quantum circuits.

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ReCirq

Research using Cirq!

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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swift

Swift for TensorFlow Project Home Page

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tensorboard

TensorFlow's Visualization Toolkit

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toolchains

Bazel toolchain configurations used across TensorFlow ecosystem

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yashk2810.github.io

Build a Jekyll blog in minutes, without touching the command line.

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