Stars
🤗 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.
Curated coding interview preparation materials for busy software engineers
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.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Production infrastructure for machine learning at scale
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Learning in infinite dimension with neural operators.
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.
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
An open-source Python framework for hybrid quantum-classical machine learning.
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
Open source person re-identification library in python
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…
🎓 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…