Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-…

An open-source implementation of Google's PaLM models

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

Neural Search

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

StableLM: Stability AI Language Models

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Codes for "AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos"

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

A python library for user-friendly forecasting and anomaly detection on time series.

Streamline scikit-learn model comparison.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Supercharge Your Model Training

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Library that contains implementations of machine learning components in the hyperbolic space

Memory mapped numpy arrays of varying shapes

📈 Log and track ML metrics, parameters, models with Git and/or DVC

Feathr – A scalable, unified data and AI engineering platform for enterprise

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

Lightning ⚡️ fast forecasting with statistical and econometric models.

Code for A Programmer's Introduction to Mathematics

A python Linear Programming API