Samkoduru

Samkoduru's Stars

• Qurrent-AI/RES-Q

  RES-Q: Evaluating the Code-Editing Capability of Large Language Model Systems at the Repository Scale

  Language:Python231

• tahreemrasul/semantic_research_engine

  A semantic research engine to get relevant papers based on a user query. Application frontend with Chainlit Copilot. Observability with Literal. Other Tech stack: LangChain, Chroma

  Language:Python7415

• facebookresearch/jepa

  PyTorch code and models for V-JEPA self-supervised learning from video.

  Language:Python2.6k247

• gabrielpreda/generative_ai

  Kaggle Notebooks, Utility Scripts using Generative AI tools to check new models, fine tune models, test with various prompts, create Retrieval Augmented Generation solutions, AI Agents, to automate processes etc.

  Language:Jupyter Notebook56

• jloveric/high-order-layers-torch

  High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.

  Language:Python383

• ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing

  LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

  Language:Jupyter Notebook599108

• iusztinpaul/energy-forecasting

  🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Python850189

• superlinked/VectorHub

  VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

  Language:Jupyter Notebook41498

• iusztinpaul/hands-on-llms

  🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Jupyter Notebook2.9k457

• langchain-ai/opengpts

  Language:Rich Text Format6.4k844

• louisfb01/start-llms

  A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

  55473

• GokuMohandas/mlops-course

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook2.9k500

• tensorchord/Awesome-LLMOps

  An awesome & curated list of best LLMOps tools for developers

  Language:Shell3.7k357

• shekit/alexa-sign-language-translator

  A project to make Amazon Echo respond to sign language using your webcam

  Language:JavaScript478124

• steven2358/awesome-generative-ai

  A curated list of modern Generative Artificial Intelligence projects and services

  5.5k610

• Ryota-Kawamura/Generative-AI-with-LLMs

  In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

  Language:Jupyter Notebook416346

• harshbg/Sign-Language-Interpreter-using-Deep-Learning

  A sign language interpreter using live video feed from the camera.

  Language:Python528217

• Narottam04/SignLanguage

  SignLanguage is a platform where users can practically learn American Sign Language using machine learning and access videos for over 20,000+ ASL phrases.

  Language:JavaScript597

• Nam-H-Pham/American-Sign-Language-Recognition

  Recognise and Learn American Sign Language

  Language:Python11

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k44k

• Unstructured-IO/unstructured

  Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

  Language:HTML8.3k678

• sanchit-gandhi/whisper-jax

  JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

  Language:Jupyter Notebook4.3k366

• jina-ai/langchain-serve

  ⚡ Langchain apps in production using Jina & FastAPI

  Language:Python1.6k137

• jina-ai/jina

  ☁️ Build multimodal AI applications with cloud-native stack

  Language:Python20.9k2.2k

• youssefHosni/Getting-Started-with-Generative-AI

  A curated list of articles and tutorials to start with and understand generative AI

  29774

• Kaaykun/SignFlow

  Scalable real-time American Sign Language translator using Mediapipe (Holistic) and LSTM

  Language:Python52

• Bhuribhat/ASL-Finger-Spelling-To-Text

  Bit.studio Internship Hand Gesture Recognition using MediaPipe, OpenCV, and Machine Learning

  Language:Jupyter Notebook4

• lancedb/vectordb-recipes

  High quality resources & applications for LLMs, multi-modal models and VectorDBs

  Language:Jupyter Notebook56496

• louisfb01/best_AI_papers_2023

  A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.

  22119

• milanm/DevOps-Roadmap

  DevOps Roadmap for 2024. with learning resources

  11.7k1.9k