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🤗 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.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
The Python micro framework for building web applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A toolkit for developing and comparing reinforcement learning algorithms.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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,…
Deezer source separation library including pretrained models.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Official inference repo for FLUX.1 models
Image-to-Image Translation in PyTorch
Data Apps & Dashboards for Python. No JavaScript Required.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Automated nginx proxy for Docker containers using docker-gen
Accelerate your web app development | Build fast. Run fast.
Asynchronous HTTP client/server framework for asyncio and Python
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Freeze (package) Python programs into stand-alone executables
