Stars
Examples and guides for using the OpenAI API
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.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Instruct-tune LLaMA on consumer hardware
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
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
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
llama3 implementation one matrix multiplication at a time
This repository contains the source code for the paper First Order Motion Model for Image Animation
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code release for NeRF (Neural Radiance Fields)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Best Practices, code samples, and documentation for Computer Vision.
A collection of pre-trained, state-of-the-art models in the ONNX format
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
[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…
Image restoration with neural networks but without learning.
A series of large language models trained from scratch by developers @01-ai
Using Low-rank adaptation to quickly fine-tune diffusion models.
Visualizations for machine learning datasets