mrityunjay-tripathi

traffic-management

Project under Meghalaya Police Hackathon-2020

asl-classification

Classification of signs of American Sign Language using Tensorflow

uci-ml-repository

Downloads all of the datasets from UCI Machine Learning Repository

adaptive-span

Transformer training code for sequential tasks

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

benchmark

A microbenchmark support library

cereal

A C++11 library for serialization

Cirq

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

code-prediction-transformer

This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"

DeepSpeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

docs

TensorFlow documentation

examples

Pre-built mlpack models

jenkins

Jenkins automation server

kafka

Mirror of Apache Kafka

lockfree

Boost.Lockfree

math

Boost.org math module

mlpack

mlpack: a scalable C++ machine learning library --

models

mlpack models (description to be improved)

mrityunjay-tripathi

openqasm

Gate and operation specification for quantum circuits

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.

qpp

A modern C++11 quantum computing library

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow.models

Models and examples built with TensorFlow

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.