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
2,688 results
A Tensorflow implementation of Spatial Transformer Networks.
Training neural models with structured signals.
Interpretability Methods for tf.keras models with Tensorflow 2.x
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
"Neural Turing Machine" in Tensorflow
Closed-form Continuous-time Neural Networks
TensorFlow for Arm
Implementations of CNNs, RNNs, GANs, etc
Next RecSys Library
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Machine learning algorithms implemented by pure numpy
An Implementation of Fully Convolutional Networks in Tensorflow.
TensorFlow 101: Introduction to Deep Learning
learn code with tensorflow
Precompiled packages for AWS Lambda
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Samples and Tools for Windows ML.
Implementation of triplet loss in TensorFlow
A lightweight header-only library for using Keras (TensorFlow) models in C++.
24,522 repositories in the index in total.
