jibby2803

jibby2803's Stars

• deepseek-ai/DeepSeek-V3

  Language:Python15.6k1.1k

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.6k2.6k

• ashishpatel26/LLM-Finetuning

  LLM Finetuning with peft

  Language:Jupyter Notebook2.3k622

• microsoft/autogen

  A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

  Language:Jupyter Notebook36.8k5.3k

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook10.1k1.4k

• hkproj/pytorch-paligemma

  Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw

  Language:Python35964

• hkproj/pytorch-stable-diffusion

  Stable Diffusion implemented from scratch in PyTorch

  Language:Jupyter Notebook670146

• gpu-mode/lectures

  Material for gpu-mode lectures

  Language:Jupyter Notebook3.4k343

• ayaanzhaque/nerf-from-scratch

  NeRF from scratch (CS180 project)

  Language:Python4

• Animadversio/DiffusionFromScratch

  Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series

  Language:Python18312

• e2b-dev/code-interpreter

  Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

  Language:Python1.4k107

• mit-han-lab/duo-attention

  DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

  Language:Python41224

• ictnlp/LLaMA-Omni

  LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

  Language:Python2.7k185

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook37.2k4.8k

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6.2k1.1k

• microsoft/DeepSpeed

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

  Language:Python36.1k4.2k

• langchain-ai/langchain-academy

  Language:Jupyter Notebook581411

• unclecode/crawl4ai

  🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper

  Language:HTML20.2k1.5k

• shashankdeshpande/langchain-chatbot

  Examples of chatbot implementations with Langchain and Streamlit

  Language:Python203151

• tylerprogramming/31-day-challenge-ai

  Language:Python8843

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python46.4k5.5k

• crewAIInc/crewAI

  Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

  Language:Python23.9k3.3k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• yifanlu0227/MIT-6.5940

  All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai

  Language:Jupyter Notebook14858

• mit-han-lab/tinyml

  Language:Python781140

• VSydorskyy/ucu_audio_processing_course

  UCU Audio Processing Course

  Language:Jupyter Notebook257

• musikalkemist/pytorchforaudio

  Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.

  Language:Python24987

• severilov/DL-Audio-Course

  Deep Learning Audio Course, 2024

  Language:Jupyter Notebook743

• NVIDIA-Merlin/Merlin

  NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

  Language:Python789119

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.6k3.1k