ML
Training and serving large-scale neural networks with auto parallelization.
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
TRITONCACHE implementation of a Redis cache
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
real time face swap and one-click video deepfake with only a single image
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
The simplest way to serve AI/ML models in production
MTEB: Massive Text Embedding Benchmark
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI