Lists (13)
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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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
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…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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
LAVIS - A One-stop Library for Language-Vision Intelligence
QLoRA: Efficient Finetuning of Quantized LLMs
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Coursera Open Courses from University of Toronto
Llama from scratch, or How to implement a paper without crying
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles.
TartuNLP / true-detective
Forked from MaksymDel/true-detectiveTrue Detective: Challenging Benchmark for Deep Abductive Reasoning in Foundation Models