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.

Python Data Science Handbook: full text in Jupyter Notebooks

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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 paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

This repository contains demos I made with the Transformers library by HuggingFace.

Public facing notes page

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

A collection of pre-trained, state-of-the-art models in the ONNX format

Build your neural network easy and fast, 莫烦Python中文教学

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Democratizing Reinforcement Learning for LLMs

[ICCV 2019] Monocular depth estimation from a single image

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Tutorials for creating and using ONNX models

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

Introduction to Deep Neural Networks with Keras and Tensorflow

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Scenarios, tutorials and demos for Autonomous Driving

NYU Deep Learning Spring 2021

High Quality Monocular Depth Estimation via Transfer Learning

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Example deep learning projects that use wandb's features.