There are 269 repositories under deeplearning topic.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Visualizer for neural network, deep learning and machine learning models
Learn OpenCV : C++ and Python Examples
DeepFaceLab is the leading software for creating deepfakes.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
machine learning and deep learning tutorials, articles and other resources
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
🔥Highlighting the top ML papers every week.
A paper list of object detection using deep learning.
ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀
:metal: awesome-semantic-segmentation
LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt,Language of GPT, 结构化提示词,结构化Prompt, Created by 「云中江树」
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Effortless data labeling with AI support from Segment Anything and other awesome models.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
This repository is a compilation of free resources for learning Data Science.
Tools to Design or Visualize Architecture of Neural Network
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Curated list of Python resources for data science.
Simple PyTorch Tutorials Zero to ALL!
Debugging, monitoring and visualization for Python Machine Learning and Data Science
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.