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A complete computer science study plan to become a software engineer.
All Algorithms implemented in Python
An Open Source Machine Learning Framework for Everyone
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The world’s fastest framework for building websites.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Models and examples built with TensorFlow
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
A curated list of awesome Machine Learning frameworks, libraries and software.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Google Research
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Visualizer for neural network, deep learning and machine learning models
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
🔥 A highly scalable, offline-first foundation with the best developer experience and a focus on performance and best practices.
A complete daily plan for studying to become a machine learning engineer.