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Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Badges for your personal developer branding, profile, and projects.
An open-source, low-code machine learning library in Python
A curated list of free courses with certifications. Also available at https://free-certifications.com/
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
Compendium of free ML reading resources
🪄 Create rich visualizations with AI
Photovatar - The AI-Powered Avatar Generator
Curated list of data science interview questions and answers
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (D…
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
A curated list of 120+ LLM libraries category wise.
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…
Data science interview questions and answers
Python tool for converting files and office documents to Markdown.
Materials for the Hugging Face Diffusion Models Course
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
We write your reusable computer vision tools. 💜