Learn how to design, develop, deploy and iterate on production-grade ML applications.
Visualizer for neural network, deep learning and machine learning models
:zap: A Fast, Extensible Progress Bar for Python and CLI
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matpl...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT...
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
100-Days-Of-ML-Code中文版
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Open standard for machine learning interoperability
A neural network that transforms a design mock-up into a static website.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learni...
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,...
一款入门级的人脸、视频、文字检测以及识别的项目.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Techniques for deep learning with satellite & aerial imagery
AutoML library for deep learning
Keras implementations of Generative Adversarial Networks.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
An open source library for deep learning end-to-end dialog systems and chatbots.
Setup and customize deep learning environment in seconds.
A course in reinforcement learning in the wild
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models...
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Deep Reinforcement Learning for Keras.
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow...
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Tools to Design or Visualize Architecture of Neural Network
Run Keras models in the browser, with GPU support using WebGL
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
TensorFlow Basic Tutorial Labs
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Fast, distributed, secure AI for Big Data
unet for image segmentation
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
PipelineAI
Model summary in PyTorch similar to `model.summary()` in Keras
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Ma...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVIN...
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++...
A high performance and generic framework for distributed DNN training
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.