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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.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 Weeks, 24 Lessons, AI for All!
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
llama3 implementation one matrix multiplication at a time
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch code and models for the DINOv2 self-supervised learning method.
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
A unified framework for 3D content generation.
An annotated implementation of the Transformer paper.
AirLLM 70B inference with single 4GB GPU
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Efficient few-shot learning with Sentence Transformers
Machine Learning Journal for Intermediate to Advanced Topics.
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
Go from no deep learning knowledge to implementing GPT.
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
TPAMI：Frequency-aware Feature Fusion for Dense Image Prediction
Implementation of Stable Diffusion with PyTorch