ekshaks

ekshaks's Stars

• open-webui/open-webui

  User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  Language:Svelte44.5k2192.5k5.4k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.2k2411392.7k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python21.2k1241.4k2.1k

• squidfunk/mkdocs-material

  Documentation that simply works

  Language:HTML20.8k1322.4k3.5k

• VikParuchuri/marker

  Convert PDF to markdown quickly with high accuracy

  Language:Python17.4k76245989

• princeton-nlp/SWE-agent

  [NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.

  Language:Python13.6k973811.4k

• quickwit-oss/tantivy

  Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

  Language:Rust12k1441k671

• bentoml/OpenLLM

  Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.

  Language:Python9.9k55267633

• jasonppy/VoiceCraft

  Zero-Shot Speech Editing and Text-to-Speech in the Wild

  Language:Jupyter Notebook7.6k89128743

• huggingface/chat-ui

  Open source codebase powering the HuggingChat app

  Language:TypeScript7.5k825801.1k

• nilsherzig/LLocalSearch

  LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

  Language:Go5.6k2996357

• huggingface/alignment-handbook

  Robust recipes to align language models with human and AI preferences

  Language:Python4.6k110135402

• huggingface/parler-tts

  Inference and training library for high-quality TTS models.

  Language:Python4.5k53103456

• mit-han-lab/llm-awq

  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

  Language:Python2.5k24177189

• unum-cloud/usearch

  Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

  Language:C++2.2k26150134

• aurelio-labs/semantic-router

  Superfast AI decision making and intelligent processing of multi-modal data.

  Language:Python2k20165212

• X-PLUG/mPLUG-DocOwl

  mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

  Language:Python1.5k2911396

• RahulSChand/gpu_poor

  Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

  Language:JavaScript1.1k51557

• AnswerDotAI/rerankers

  A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

  Language:Python1k102156

• lean-dojo/LeanCopilot

  LLMs as Copilots for Theorem Proving in Lean

  Language:C++980144191

• naver/splade

  SPLADE: sparse neural search (SIGIR21, SIGIR22)

  Language:Python768195086

• grycap/scar

  Serverless Container-aware ARchitectures (e.g. Docker in AWS Lambda)

  Language:Python5981715846

• explosion/srsly

  🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)

  Language:Python43293131

• Holmeswww/AgentKit

  An intuitive LLM prompting framework for multifunctional agents, by explicitly constructing a complex "thought process" from simple natural language prompts.

  Language:Python408101146

• EQ-bench/EQ-Bench

  A benchmark for emotional intelligence in large language models

  Language:Python19032216

• vast-ai/vast-python

  Vast.ai python and cli api client

  Language:Python12073746

• HKUDS/HiGPT

  [KDD'2024] "HiGPT: Heterogenous Graph Language Models"

  Language:Python107296

• r-three/phatgoose

  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"

  Language:Python78154

• GuanSuns/LLMs-World-Models-for-Planning

  The source code of the paper "Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning".

  Language:Python75539

• hamelsmu/ft-drift

  Check for data drift between two OpenAI multi-turn chat jsonl files.

  Language:Jupyter Notebook34206