PyTorch

Privacy Preserving AI (Andrew Trask) | MIT Deep Learning Series

Lex Fridman

A deep learning framework that PySyft extends to enable privacy-preserving machine learning.

Deep Learning State of the Art (2020)

Lex Fridman

A leading deep learning framework that has converged with TensorFlow, now supporting TorchScript for graph representation and experimental mobile versions.

Rajat Monga: TensorFlow | Lex Fridman Podcast #22

Lex Fridman

A competing deep learning framework that primarily focuses on research, influencing TensorFlow's development, particularly regarding eager execution.

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

Lex Fridman

A deep learning framework mentioned as a choice for implementing reinforcement learning algorithms, alongside TensorFlow.

Deep Learning Basics: Introduction and Overview

Lex Fridman

An open-source machine learning framework, mentioned as part of the evolution of deep learning tooling alongside TensorFlow.

Deep Learning State of the Art (2019)

Lex Fridman

Another major open-source deep learning framework that has matured considerably, offering accessibility and support for various research ideas.

AI Dev 25 x NYC | Robert Crowe: JAX Made Simple: An Intuitive Guide to Building Fast Neural Networks

DeepLearningAI

Python for AI #4: Model Hubs & HuggingFace Tutorial

AssemblyAI

Python for AI #1: Dev Environment Setup

AssemblyAI

Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341

Lex Fridman

An open-source machine learning framework, part of the Python ecosystem that dominates the AI community.

MIT AGI: Artificial General Intelligence

Lex Fridman

A popular open-source machine learning framework, mentioned as a key software architecture supporting intensive AI development.

MIT 6.S094: Deep Learning

Lex Fridman

A deep learning framework mentioned alongside TensorFlow for building neural networks.

Torch Tutorial (Alex Wiltschko, Twitter)

Lex Fridman

A popular open-source machine learning framework developed by Facebook's AI Research lab, known for its flexibility and Pythonic interface. (Often referred to as Torch in this context).

Sequence to Sequence Deep Learning (Quoc Le, Google)

Lex Fridman

A deep learning framework mentioned for auto-differentiation.

Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming | Lex Fridman Podcast #224

Lex Fridman

An open-source machine learning framework, developed by Facebook, known for its flexibility and Pythonic interface, and which Quansight Labs actively contributes to.

Work at a Startup Expo 2019

Y Combinator

An open-source machine learning framework used in Sorceress's tech stack.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)

Stanford Online

A deep learning framework used for tensor operations, mixed precision training, and implementing models and optimizers.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization

Stanford Online

A deep learning framework whose primitives correspond to launching GPU kernels; students use it implicitly.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 4: Attention Alternatives

Stanford Online

A deep learning framework used as a baseline for performance comparisons, showing dramatic improvements with FlashAttention.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 5: GPUs, TPUs

Stanford Online

A popular deep learning framework that includes features like 'torch compile' for optimizing code through fusion and autotuning.

CI/CD Breaks at AI Speed: Tangle, Graphite Stacks, Pro-Model PR Review — Mikhail Parakhin, Shopify

Latent Space

A machine learning module that Tangle's deeper level analysis can utilize and combine.