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🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The open source extract transaction infomation by using OCR.
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.
A curated list of awesome things related to FastAPI
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Home assignments for data science positions
A playbook for systematically maximizing the performance of deep learning models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Materials for the Hugging Face Diffusion Models Course
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
clean CV LaTex template with GitHub Actions that compile and publish new changes
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A collection of design patterns/idioms in Python
A Project Portfolio Site for Teddy Warner
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.