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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Neural Networks: Zero to Hero
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A collection of various deep learning architectures, models, and tips
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
llama3 implementation one matrix multiplication at a time
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
PyTorch code and models for the DINOv2 self-supervised learning method.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Code release for NeRF (Neural Radiance Fields)
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
CoreNet: A library for training deep neural networks
Repo for the Deep Reinforcement Learning Nanodegree program
Code Repository for Machine Learning with PyTorch and Scikit-Learn
CoTracker is a model for tracking any point (pixel) on a video.
A collection of infrastructure and tools for research in neural network interpretability.