waleramir's Stars
OpenInterpreter/open-interpreter
A natural language interface for computers
n8n-io/n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
milvus-io/milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
unclecode/crawl4ai
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
unslothai/unsloth
Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
Cinnamon/kotaemon
An open-source RAG-based tool for chatting with your documents.
mlc-ai/mlc-llm
Universal LLM Deployment Engine with ML Compilation
astral-sh/rye
a Hassle-Free Python Experience
HKUDS/LightRAG
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
bentoml/OpenLLM
Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
neuml/txtai
đź’ˇ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
SWivid/F5-TTS
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
Ucas-HaoranWei/GOT-OCR2.0
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
OpenInterpreter/01
The #1 open-source voice interface for desktop, mobile, and ESP32 chips.
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
OpenSPG/KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
deanmalmgren/textract
extract text from any document. no muss. no fuss.
eth-sri/lmql
A language for constraint-guided and efficient LLM programming.
langroid/langroid
Harness LLMs with Multi-Agent Programming
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
KoljaB/RealtimeSTT
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
zou-group/textgrad
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
dmlc/decord
An efficient video loader for deep learning with smart shuffling that's super easy to digest
casper-hansen/AutoAWQ
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
noamgat/lm-format-enforcer
Enforce the output format (JSON Schema, Regex etc) of a language model
illuin-tech/colpali
The code used to train and run inference with the ColPali architecture.
Mirascope/mirascope
LLM abstractions that aren't obstructions
Praveen76/LLMs-Interview-Prep-Guide
Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.