YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Google Brain AutoML

Tesseract Open Source OCR Engine (main repository)

Awesome Automatic Speech Recognition (ASR) paper collection

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Conditional Transformer Language Model for Controllable Generation

EPI Judge - Preview Release

A crash course in six episodes for software developers who want to become machine learning practitioners.

Object classification with CIFAR-10 using transfer learning

Keras implementation of a ResNet-CAM model

Start here.

enchant spellchecking library

Comparison of n-gram vs RNN (recurrent neural network) language models (predicting next word in a sequence), using Python, NLTK, Keras, and TensorFlow

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Collection of generative models in Tensorflow

An LSTM example using tensorflow to predict the next word in a text

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Dense image captioning in Torch

Deep Learning for humans

LSTM and QRNN Language Model Toolkit for PyTorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Dynamic evaluation for pytorch language models, now includes hyperparameter tuning

Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'

Squeeze-and-Excitation Networks

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

PyTorch Tutorial for Deep Learning Researchers