Stars
A list of online news & info sources in the AI/ML/Data Science space
Production-ready platform for agentic workflow development.
[ACL 2024 Findings] Official PyTorch Implementation code for realizing the technical part of CoLLaVO: Crayon Large Language and Vision mOdel to significantly improve zero-shot vision language perfo…
DeepSeek Coder: Let the Code Write Itself
llama3.np is a pure NumPy implementation for Llama 3 model.
Python sample codes and textbook for robotics algorithms.
A latent text-to-image diffusion model
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Generate 3D objects conditioned on text or images
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
High level network definitions with pre-trained weights in TensorFlow
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.
Production-Grade Container Scheduling and Management
Statistical package in Python based on Pandas
⚡ A Fast, Extensible Progress Bar for Python and CLI
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
HiPlot makes understanding high dimensional data easy
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
A simple method to perform semi-supervised learning with limited data.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
End-to-End Object Detection with Transformers
A collection of AWESOME things about domain adaptation