Stars
Create the prompts you need to write your Novel using AI
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Collection of handy online tools for developers, with great UX.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
All Algorithms implemented in Python
Understanding Deep Learning - Simon J.D. Prince
Training efficient drone controllers with Analytic Policy Gradient
A framework built on top of NVIDIA Isaac Sim for simulating drones with PX4 support and much more
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A playbook for systematically maximizing the performance of deep learning models.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Orbax provides common checkpointing and persistence utilities for JAX users
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry lead…
Flax is a neural network library for JAX that is designed for flexibility.
A platform for managing machine learning experiments
PIX is an image processing library in JAX, for JAX.
Optax is a gradient processing and optimization library for JAX.
Multi language library for pandas notebook to mine git and gain insights on your code base.