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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Magnificent app which corrects your previous console command.
Models and examples built with TensorFlow
《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。
A curated list of awesome Machine Learning frameworks, libraries and software.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
OpenMMLab Detection Toolbox and Benchmark
PyTorch Tutorial for Deep Learning Researchers
A book-in-progress about the Linux kernel and its insides.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The fundamental package for scientific computing with Python.
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 lear…
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,…
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
State-of-the-art 2D and 3D Face Analysis Project
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Google Chromium, sans integration with Google
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Minimal examples of data structures and algorithms in Python
