Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,686 results
A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
DenseFuse (IEEE TIP 2019, Highly Cited Paper) - Python 3.6, TensorFlow 1.8.0
An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
StarNet
Focal Loss for Dense Rotation Object Detection
Hobby project to track vehicles that are over speeding and violating red light
Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
OneShot Learning-based hotword detection.
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
DIRT: a fast differentiable renderer for TensorFlow
《深入理解TensorFlow》项目代码与样章
Naszilla is a Python library for neural architecture search (NAS)
Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
Automatic Differentiation Library for Computational and Mathematical Engineering
Deep Learning Camp Jeju
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Примеры для курса "Основы нейронных сетей"
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
RLgraph: Modular computation graphs for deep reinforcement learning
24,524 repositories in the index in total.
