Stars
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
A playbook for systematically maximizing the performance of deep learning models.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Vite & Vue powered static site generator.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
High-Resolution Image Synthesis with Latent Diffusion Models
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
A framework for few-shot evaluation of language models.
A pattern-based approach to learn technical interview questions
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Techniques for deep learning with satellite & aerial imagery
Reference PyTorch implementation and models for DINOv3
A python library for user-friendly forecasting and anomaly detection on time series.
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Official repo for consistency models.
A scikit-learn compatible neural network library that wraps PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Probabilistic time series modeling in Python
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference