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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Command-line program to download videos from YouTube.com and other video sites
Magnificent app which corrects your previous console command.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
π‘ Open source home automation that puts local control and privacy first.
Hunt down social media accounts by username across social networks
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
Clone a voice in 5 seconds to generate arbitrary speech in real-time
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
Rich is a Python library for rich text and beautiful formatting in the terminal.
High-Resolution Image Synthesis with Latent Diffusion Models
LlamaIndex is the leading framework for building LLM-powered agents over your data.
TensorFlow code and pre-trained models for BERT
Streamlit β A faster way to build and share data apps.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The fundamental package for scientific computing with Python.
You like pytorch? You like micrograd? You love tinygrad! β€οΈ
π€ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
We have made you a wrapper you can't refuse
Deezer source separation library including pretrained models.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training