edgBR

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

leetcode

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

valkey

A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, since it's a twist on the key-value datastore.

pykan

Kolmogorov Arnold Networks

mamba

Mamba SSM architecture

nn-zero-to-hero

Neural Networks: Zero to Hero

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

whisperX

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

insanely-fast-whisper

graphcast

whisper-jax

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

LMOps

General technology for enabling AI capabilities w/ LLMs and MLLMs

detoxify

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

meshgpt-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

data-drift

Metrics Observability & Troubleshooting

bane

The "bane" Python library stands out as a robust toolkit catering to a wide spectrum of cybersecurity and networking tasks. Its versatile range of functionalities covers various aspects, including bruteforce attacks, cryptographic methods, DDoS attacks, information gathering, botnet creation and management, and CMS vulnerability scanning and more..

pfl-research

Simulation framework for accelerating research in Private Federated Learning

optimum-benchmark

🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.

llmops-promptflow-template

LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

rag-experiment-accelerator

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

fold

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

azure-openai-rag-workshop

Create your own ChatGPT with Retrieval-Augmented-Generation workshop

data-factory-testing-framework

A stand-alone test framework that allows to write unit tests for Data Factory pipelines on Microsoft Fabric and Azure Data Factory.

ms-fabric-sdk-core

hfas

Hierarchical Forecasting at Scale

chf

lsh-knn

[Experiment] Approximate k-nearest neighbors (k-NN) with locality-sensitive hashing (LSH)