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Apple
- New Delhi ,India
- https://assassinsurvivor.github.io
Stars
Open source annotation tool for machine learning practitioners.
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Python3 bindings for the Compact Language Detector v3 (CLD3)
A python module for English lemmatization and inflection.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
🎨 Diagram as Code for prototyping cloud system architectures
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
State of the Art Natural Language Processing
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
High-accuracy NLP parser with models for 11 languages.
Research project for task-oriented dialogue system with jointly training multi-intent classification and slot filling
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Neural machine translation and sequence learning using TensorFlow
Reference implementations of MLPerf™ training benchmarks
All Algorithms implemented in Python
The "Python Machine Learning (3rd edition)" book code repository
Keras implementations of Generative Adversarial Networks.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
all kinds of text classification models and more with deep learning
TensorFlow-based neural network library
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Importa…
Best Practices on Recommendation Systems