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SadiaAfrinPurba
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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in 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: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
Hunt down social media accounts by username across social networks
A natural language interface for computers
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
Rich is a Python library for rich text and beautiful formatting in the terminal.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A collection of design patterns/idioms in Python
🎨 Diagram as Code for prototyping cloud system architectures
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The simplest, fastest repository for training/finetuning medium-sized GPTs.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more