hankcs/CS224n
quality grade D, 38 out of 100CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Build a bot that speaks like you!
TensorFlow Script
🎯 AI Zero to Hero 👑
Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.
由淺入深的深度學習資源 Collection of deep learning materials for everyone
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
Insight Face on TensorFlow
Food Classification with Deep Learning in Keras / Tensorflow
A simple probabilistic programming language.
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
JavaScript的学习代码总结,高级特性、数据结构、设计模式、typescript、vue、angular、react、node、webpack、weex、小程序、tensorflow…,JavaScript是世界上最好的语言!
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)
Real-Time Semantic Segmentation in Mobile device
TensorFlow and Deep Learning Tutorials
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Inference Code for Polygon-RNN++ (CVPR 2018)
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Python library to easily log experiments and parallelize hyperparameter search for neural networks
NeuPy is a Tensorflow based python library for prototyping and building neural networks
24,540 repositories in the index in total.