An Open Source Machine Learning Framework for Everyone
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Updated
Dec 12, 2024 - C++
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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
Architected for speed. Automated for easy. Monitoring and troubleshooting, transformed!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Computer Science courses with video lectures.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Tesseract Open Source OCR Engine (main repository)
Deep Learning for humans
scikit-learn: machine learning in Python
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
The world's simplest facial recognition api for Python and the command line
Deepfakes Software For All
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The Julia Programming Language
100 Days of ML Coding
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn how to design, develop, deploy and iterate on production-grade ML applications.