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Science Corporation
- San Francisco, CA
- sophiasanborn.com
- @naturecomputes
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Stable Diffusion web UI
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Image-to-Image Translation in PyTorch
Code for the paper "Language Models are Unsupervised Multitask Learners"
Graph Neural Network Library for PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Open standard for machine learning interoperability
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Datasets, Transforms and Models specific to Computer Vision
StyleGAN - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Hydra is a framework for elegantly configuring complex applications
Speech recognition module for Python, supporting several engines and APIs, online and offline.
A unified framework for machine learning with time series
Pytorch implementation of convolutional neural network visualization techniques
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Implementation of Graph Convolutional Networks in TensorFlow