Starred repositories
73
stars
written in Jupyter Notebook
Clear filter
Examples and guides for using the OpenAI API
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The fastai book, published as Jupyter Notebooks
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Image restoration with neural networks but without learning.
Visualizations for machine learning datasets
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
CoreNet: A library for training deep neural networks
Efficient Image Captioning code in Torch, runs on GPU
The 3rd edition of course.fast.ai
A Bulletproof Way to Generate Structured JSON from Language Models
A collection of infrastructure and tools for research in neural network interpretability.
An Open Source text-to-speech system built by inverting Whisper.
A computer science textbook
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Python-based tools for document analysis and OCR
MTCNN face detection implementation for TensorFlow, as a PIP package.
A clear, concise, simple yet powerful and efficient API for deep learning.