Stars
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A high-throughput and memory-efficient inference and serving engine for LLMs
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
An awesome & curated list of best LLMOps tools for developers
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Cloud-native authorization for modern applications and APIs
Kubernetes-native platform to run massively parallel data/streaming jobs
A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)
Publication-ready NN-architecture schematics.
Declarative Continuous Deployment for Kubernetes
Python package for accessing 4intelligence's Forecast as a Service (FaaS4i)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Practical Deep Learning at Scale with MLFlow, published by Packt
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Python-centered read-along of Forecasting: Principles and Practice
Machine learning metrics for distributed, scalable PyTorch applications.
Lightweight Deep Learning Model Training library based on PyTorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
List of papers, code and experiments using deep learning for time series forecasting
N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.
A python library for user-friendly forecasting and anomaly detection on time series.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Time series forecasting with PyTorch