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Setup and customize deep learning environment in seconds.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
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.
Convolutional Neural Network for Text Classification in Tensorflow
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
High-performance TensorFlow library for quantitative finance.
Learning to See in the Dark. CVPR 2018
Deep Reinforcement Learning for Keras.
Neural style in TensorFlow! 🎨
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
A TensorFlow implementation of DeepMind's WaveNet paper
Build Graph Nets in Tensorflow
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Machine Learning and Agentic AI Resources, Practice and Research
The central nervous system and backend orchestrator for Fractal. It handles multi-tenant task scheduling, real-time TFLOPs budgeting, and federated weight aggregation using FedAvg.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services