Lists (16)
Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A guidance language for controlling large language models.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Your new Mentor for Data Science E-Learning.
Kubernetes community content
This repository contains demos I made with the Transformers library by HuggingFace.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Official inference library for Mistral models
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A series of large language models trained from scratch by developers @01-ai
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Notebooks for learning deep learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Repo for the Deep Learning Nanodegree Foundations program.
Content for Udacity's Machine Learning curriculum