Go ahead and axolotl questions

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

💡 Build AI-powered semantic search applications

🐢 Open-Source Evaluation & Testing for LLMs and ML models

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

List of Computer Science courses with video lectures.

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

A nearly-live implementation of OpenAI's Whisper.

Machine Learning Engineering Guides and Tools

Free MLOps course from DataTalks.Club

Awesome-LLM: a curated list of Large Language Model

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

A course on aligning smol models.

Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source alg…

Create Customized Software with Natural Language Ideas

Official inference framework for 1-bit LLMs

An Open Source text-to-speech system built by inverting Whisper.

Segment Anything in High Quality

Uniform Manifold Approximation and Projection

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

Kolors Team

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

A Python nearest neighbor descent for approximate nearest neighbors

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Hummingbird compiles trained ML models into tensor computation for faster inference.

🪐 End-to-end NLP workflows from prototype to production

A treasure chest for visual classification and recognition powered by PaddlePaddle

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

This repository contains best profile readme's for your reference.