Pinned Repositories
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
clip-container
A containerized REST API around OpenAI's CLIP model.
cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
rameshnair007's Repositories
rameshnair007/langchain-tutorials
Overview and tutorial of the LangChain Library
rameshnair007/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
rameshnair007/Twitter
Some of the best twitter threads regarding Machine Learning and Deep Learning
rameshnair007/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
rameshnair007/MadeWithML
Learn how to responsibly deliver value with ML.
rameshnair007/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
rameshnair007/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
rameshnair007/gradio
Create UIs for prototyping your machine learning model in 3 minutes
rameshnair007/Missing-Pixel-Filler
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
rameshnair007/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
rameshnair007/Spatially-Varying-Blur-Detection-python
python implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017
rameshnair007/osmnx-examples
Usage examples, demos, and tutorials for OSMnx.
rameshnair007/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
rameshnair007/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
rameshnair007/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
rameshnair007/clip-container
A containerized REST API around OpenAI's CLIP model.
rameshnair007/TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
rameshnair007/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
rameshnair007/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
rameshnair007/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
rameshnair007/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
rameshnair007/demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
rameshnair007/HRNet-Semantic-Segmentation
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
rameshnair007/SR-cycleGAN
CycleGAN for super-resolution: from Clinical CT to Micro CT
rameshnair007/SRGAN-Keras-Implementation
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
rameshnair007/visualizing_convnets
This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"
rameshnair007/folium
Python Data. Leaflet.js Maps.
rameshnair007/models
Models and examples built with TensorFlow