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Stanford University
- Palo Alto
- thowell.github.io
- @taylorhowell
Stars
A complete computer science study plan to become a software engineer.
An opinionated list of awesome Python frameworks, libraries, software and resources.
💯 Curated coding interview preparation materials for busy software engineers
Financial data platform for analysts, quants and AI agents.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
You like pytorch? You like micrograd? You love tinygrad! ❤️
A playbook for systematically maximizing the performance of deep learning models.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Reproducing images with geometric primitives.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Playing Pokemon Red with Reinforcement Learning
From the Transistor to the Web Browser, a rough outline for a 12 week course
A Python-embedded modeling language for convex optimization problems.
A Python framework for accelerated simulation, data generation and spatial computing.