An Open Source Machine Learning Framework for Everyone
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Updated
Nov 28, 2023 - 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
Monitor your servers, containers, and applications, in high-resolution and in real-time!
List of Computer Science courses with video lectures.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Deep Learning for humans
scikit-learn: machine learning in Python
Tesseract Open Source OCR Engine (main repository)
《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。
The world's simplest facial recognition api for Python and the command line
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Deepfakes Software For All
The Julia Programming Language
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
DeepFaceLab is the leading software for creating deepfakes.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
100 Days of ML Coding
🧑🏫 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, ... 🧠
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.