Deep Learning for humans
Visualizer for neural network, deep learning and machine learning models
:zap: A Fast, Extensible Progress Bar for Python and CLI
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Fast and accurate AI powered file content types detection
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手:一站式学习、模拟、实盘平台。涵盖:股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Keras documentation, hosted live at keras.io
100-Days-Of-ML-Code中文版
Open standard for machine learning interoperability
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...
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
A course in reinforcement learning in the wild
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
AI Infra / AI Orchestration / AI Control Plane
Open source hardware and software platform to build a small scale self driving car.
View model summaries in PyTorch!
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Machine learning on FPGAs using HLS
Python AutoML for Trading Systems and Sports Betting
Hyperparameter Experiments with TensorFlow and Keras
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
ONNXMLTools enables conversion of models to ONNX
Training neural models with structured signals.
Pretrained model hub for Keras 3.
A multi-framework neural network compiler lowering PyTorch, JAX, Flax, and Keras models to portable, high-performance GGML execution
Open Source CNN Image Classifier Builder with Keras and C# Cross Language 2026
Clean ML Framework 2026: Simplify Machine Learning Code Structure and Hyperparameters
Fast Track AI Model Training with Streamlit Vision to Production in 2026
Multilingual Sentiment Analysis with Transformers: 2026 Amazon Review Classification Guide
YAML Keras Trainer 2026: Lightweight Config-Driven Deep Learning Models Made Simple
Multilingual Sentiment Analysis with Transformers: Amazon Reviews AI Tutorial 2026
Complete TensorFlow NLP Guide 2026: BERT, GPT and LLM Downstream Tasks Explained
No-Code Image Classification Studio: AutoML Tuning Toolkit with Streamlit 2026
LockEraser 2026 for Windows — the complete professional build with every module enabled: system management, optimization, and daily productivity, no edition limits after install.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.