Raja Raghudeep Emani's repositories
crnn-pytorch
modified the code to train on new data
coursera_ml
Python solutions to Andrew Ng's ML course.
cs224n-winter-2017
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
DeepLearningFrameworks
Demo of running NNs across different frameworks
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
eeap-examples
Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe
eht-imaging
Imaging, analysis, and simulation software for radio interferometry
fastbook
Draft of the fastai book
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
libpostal
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
line-segmentation-algorithm-to-gcp-vision
Line segmentation algorithm for Google Vision API.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
style-transfer
style transfer web app [FastAPI + streamlit + Docker]
test_ci
To test continuous integration
Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
TreeStructure
Table Extraction Tool
yolov3
YOLOv3: Training and inference in PyTorch