ToolAI.io · GitHub चैनल

GitHub पर ट्रेंडिंग AI प्रोजेक्ट्स

LLM, एजेंट, MCP, RAG और कोडिंग विषयों में सक्रिय ओपन-सोर्स AI रिपॉज़िटरीज़ को स्टार्स और सत्यापित प्रोजेक्ट जानकारी के साथ ट्रैक करें।

सार्वजनिक रिपॉज़िटरी का डेटा

प्रोजेक्ट इंडेक्स

47 प्रोजेक्ट्स
फ़ाइन-ट्यूनिंग, प्रशिक्षण और डेटा

DeepSpeed

deepspeedai/deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

★ 43K⑂ 4.9KPython
Apache-2.0Q94
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

vllm

vllm-project/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

★ 89.5K⑂ 21KPython
Apache-2.0Q98
TensorRT-LLM — Optimized LLM inference का स्क्रीनशॉट
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

TensorRT-LLM — Optimized LLM inference

NVIDIA/TensorRT-LLM

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way

★ 14.4K⑂ 2.7KC++
NOASSERTIONQ82
hal0 का स्क्रीनशॉट
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

hal0

hal0ai/hal0

An open-source, self-hosted home AI inference platform designed to turn a Linux box into an OpenAI-compatible inference appliance, with native optimization for AMD Strix Halo hardware.

★ 68⑂ 7Python
Apache-2.0Q89
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

xLLM: High-Performance Inference Engine for Diverse AI Accelerators

xllm-ai/xllm

xLLM is a C++ inference framework for LLM, VLM, DiT and REC models. It targets high-throughput, low-latency deployment on several AI accelerator families and separates service-layer scheduling and availability from engine-layer computation.

★ 1.5K⑂ 279C++
Apache-2.0Q98
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

vLLM Ascend

vllm-project/vllm-ascend

A community-maintained hardware plugin that enables vLLM to run model inference and serving workloads on supported Ascend NPUs.

★ 2.7K⑂ 2.1KC++
Apache-2.0Q98
एजेंट और मल्टी-एजेंट

dstack

dstackai/dstack

A vendor-agnostic control plane for provisioning and orchestrating training, inference, development, and agentic workloads across GPU clouds, Kubernetes, and on-premises infrastructure.

★ 2.2K⑂ 249Python
MPL-2.0Q98
memra का स्क्रीनशॉट
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

memra

avifenesh/memra

A from-scratch LLM inference engine built in Rust and CUDA, specifically optimized for RTX 5090 (sm_120a) and H100 (sm_90a) architectures, delivering exactness-gated performance without relying on frameworks like ggml.

★ 314⑂ 35Rust
MITQ92
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

any-llm: A Unified Python Interface for LLM Providers

mozilla-ai/any-llm

any-llm is a Python SDK for communicating with multiple LLM providers through one interface. It supports switching providers and models with minimal code changes while using official provider SDKs when available.

★ 2.2K⑂ 211Python
Apache-2.0Q98
tiktoken — Fast tokenization का स्क्रीनशॉट
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

tiktoken — Fast tokenization

openai/tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models

★ 19K⑂ 1.6KRust
MITQ86
Xorbits Inference (Xinference) का स्क्रीनशॉट
इन्फरेंस, डिप्लॉयमेंट और रनटाइम

Xorbits Inference (Xinference)

xorbitsai/inference

A powerful and versatile library designed to serve language, speech recognition, and multimodal models. It allows users to swap GPT for any LLM by changing a single line of code and run models on cloud, on-prem, or locally via a unified, production-ready inference API.

★ 9.5K⑂ 853Python
Apache-2.0Q98
Plano: AI-Native Proxy Server and Data Plane for Agentic Apps का स्क्रीनशॉट
एजेंट और मल्टी-एजेंट

Plano: AI-Native Proxy Server and Data Plane for Agentic Apps

katanemo/plano

Plano is an AI-native proxy server and data plane built in Rust that centralizes LLM routing, agent orchestration, observability, and guardrails, allowing developers to focus on core agent logic rather than infrastructure plumbing.

★ 7K⑂ 484Rust
Apache-2.0Q98

पृष्ठ 2 / 4 · 47 प्रोजेक्ट

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