Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…

SGLang is a fast serving framework for large language models and vision language models.

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Jobs_Applier_AI_Agent_AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.

Minimal examples of data structures and algorithms in Python

Build and query dynamic, temporally-aware Knowledge Graphs

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

A modular graph-based Retrieval-Augmented Generation (RAG) system

Simplified Masked Diffusion Language Model

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

A Survey on Text-to-Video Generation/Synthesis.

llama3 implementation one matrix multiplication at a time

Python package for graph statistics

Python scraper based on AI

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

A diff tool for language models

All the projects related to Llama

Machine Learning Engineering Open Book

Code and data for Marked Personas (ACL 2023)

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Make GNN easy to start with

A Python Library for Graph Outlier Detection (Anomaly Detection)

A Rust implementation of HyperLogLog trying to be parsimonious with memory.

some bravo or inspiring research works on the topic of curriculum learning

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