An open-source Python framework for hybrid quantum-classical machine learning.

🎓 A step-by-step guide containing everything you need to know about Ph.D/Masters admissions in Computer Science. Moreover, it's augmented with excellent resources including scholarships, internship…

Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull reque…

Multiple Object Tracking with Transformer

Generative Adversarial Transformers

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Curated coding interview preparation materials for busy software engineers

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Learning in infinite dimension with neural operators.

Open source person re-identification library in python

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Animation engine for explanatory math videos

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Production infrastructure for machine learning at scale

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.