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7,568 search results found
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning for humans
Cs Video Courses
List of Computer Science courses with video lectures.
Deepfakes Software For All
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
100 Days Of Ml Code
100 Days of ML Coding
DeepFaceLab is the leading software for creating deepfakes.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Caffe: a fast open framework for deep learning.
Made With Ml
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Machine Learning For Software Engineers
A complete daily plan for studying to become a machine learning engineer.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
💫 Industrial-strength Natural Language Processing (NLP) in Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Streamlit — A faster way to build and share data apps.
Data Science Ipython Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Ai Expert Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
The fastai deep learning library
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Visualizer for neural network, deep learning, and machine learning models
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ml From Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Cross-platform, customizable ML solutions for live and streaming media.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Awesome Deep Learning Papers
The most cited deep learning papers
📝 An awesome Data Science repository to learn and apply for real world problems.
Awesome Deep Learning
A curated list of awesome Deep Learning tutorials, projects and communities.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
100 Days Of Ml Code
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
The fastai book, published as Jupyter Notebooks
🔮 Build multimodal AI services via cloud native technologies
Create UIs for your machine learning model in Python in 3 minutes
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Oxford Deep NLP 2017 course
Papers with code. Sorted by stars. Updated weekly.
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Screenshot To Code
A neural network that transforms a design mock-up into a static website.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Best Of Ml Python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Awesome Production Machine Learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Image augmentation for machine learning experiments.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Machine Learning Tutorials
machine learning and deep learning tutorials, articles and other resources
500 Ai Machine Learning Deep Learning Computer Vision Nlp Projects With Code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Cvpr2023 Papers With Code
CVPR 2023 论文和开源项目合集
A toolkit for making real world machine learning and data analysis applications in C++
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
Deep Learning With Tensorflow Book
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.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Cvpr2023 Paper Code Interpretation
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Turi Create simplifies the development of custom machine learning models.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Mit Deep Learning Book Pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Create HTML profiling reports from pandas DataFrame objects
Stanford Cs 229 Machine Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Ml Youtube Courses
📺 Discover the latest machine learning / AI courses on YouTube.
Stanford Tensorflow Tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
A MNIST-like fashion product database. Benchmark 👇
Open deep learning compiler stack for cpu, gpu and specialized accelerators
TensorFlow-based neural network library
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Deep learning library featuring a higher-level API for TensorFlow.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Numerical Linear Algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Minimal and clean examples of machine learning algorithms implementations
Data-centric declarative deep learning framework
Best Practices, code samples, and documentation for Computer Vision.
AutoML library for deep learning
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
TensorFlow tutorials and best practices.
TensorFlow Tutorials with YouTube Videos
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Differentiable Computer Vision Library
Python Deep Learning (21,357)
Python Machine Learning (14,099)
Jupyter Notebook Machine Learning (12,385)
Jupyter Notebook Deep Learning (10,328)
Deep Learning Pytorch (6,949)
Deep Learning Tensorflow (6,001)
Machine Learning Data Science (4,787)
Deep Learning Neural Network (4,083)
Deep Learning Convolutional Neural Networks (3,932)
Machine Learning Tensorflow (3,717)
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