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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.
Out-of-the-box (OOTB) GUI Agent for Windows and macOS
💯 Curated coding interview preparation materials for busy software engineers
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Neural Networks: Zero to Hero
Video+code lecture on building nanoGPT from scratch
The simplest, fastest repository for training/finetuning medium-sized GPTs.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Papers from the intersection of deep learning and neuroscience
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
PyTorch code and models for the DINOv2 self-supervised learning method.
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
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.
Making large AI models cheaper, faster and more accessible
Understanding Deep Learning - Simon J.D. Prince
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
data and code for unsupervised learning paper
visual display and analysis python code for retinotopic mapping of rodent visual cortex
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Productive, portable, and performant GPU programming in Python.
This repository contains implementations and illustrative code to accompany DeepMind publications
STATS320: Statistical Methods for Neural Data Analysis