Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Deezer source separation library including pretrained models.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Upscale an image by a factor of 4, while generating photo-realistic details.
Pretrained model hub for Keras 3.
High level network definitions with pre-trained weights in TensorFlow
PyTorch to Keras model convertor
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Learning cell communication from spatial graphs of cells
A Tensorfflow implementation of Attend, Infer, Repeat
Detect the sentiment captured in short pieces of text
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.