Devashish Prasad

RFantibody. Python

boltz. Official repository for the Boltz biomolecular interaction models

tensorboard. TensorFlow's Visualization Toolkit

hierarchical-vqvae. A hierarchical VQ-VAE implementation in Flax

VQVAE_Flax. Implementation of basic autoencodeur, VAE and VQVAE in Flax

sort-google-scholar. Ranking Google Scholar search results based on the number of citations

papers_for_protein_design_using_DL. List of papers about Proteins Design using Deep Learning

diffab. ✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)

dl_binder_design. Python

alphafold. Open source code for AlphaFold 2.

IgFold. Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

AntiBERTy. Antibody-specific masked language model

Frame2seq. Structure-conditioned masked language modeling for protein sequence design

invariant-point-attention. Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

esm. Evolutionary Scale Modeling (esm): Pretrained language models for proteins

einops. Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

IgVAE. A variational autoencoder that directly generates the 3D coordinates of immunoglobulin protein backbones.

pytorch-summary. Model summary in PyTorch similar to `model.summary()` in Keras

lstm-vae-torch. A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

onnxruntime. ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

dgraph. high-performance graph database for real-time use cases

model-angelo. Automatic atomic model building program for cryo-EM maps

molstar. A comprehensive macromolecular library

Applied-Deep-Learning. Applied Deep Learning Course

vit-pytorch. Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Tutorial_BayesianCompressionForDL. A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

Weight-Uncertainty-in-Neural-Networks. Jupyter Notebook

WeightUncertainty. PyTorch implementation of 'Weight Uncertainty in Neural Networks'

semantic_image_inpainting. Semantic Image Inpainting

Virtual-AI-assistant. This repository contains my Bachelor's degree final year project. It is a Google colab based interactive Virtual Assistant built using open-sourced libraries.

awesome-ml-internships. List of companies offering Machine learning and Data Science internships

awesome-ml-model-compression. Awesome machine learning model compression research papers, quantization, tools, and learning material.

JointBERT. Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

optuna. A hyperparameter optimization framework

DeepCovid. Python

bhai-lang. A toy programming language written in Typescript

KOALAnet. Official repository of KOALAnet (CVPR, 2021)

spinningup. An educational resource to help anyone learn deep reinforcement learning.

windows-95. Jekyll Theme

data-science-question-answer. A repo for data science related questions and answers

example_upload. TypeScript

Project-ABC. Java

ArbSR. [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

DASR. [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

MZSR. Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

DRN. Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

flax. Flax is a neural network library for JAX that is designed for flexibility.

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

SwinIR. SwinIR: Image Restoration Using Swin Transformer (official repository)

NumPyNet. Neural Networks library in pure numpy

EDSR-pytorch. Pytorch implementation of Enhanced Deep Residual Network for Single Image Super Resolution -- (https://arxiv.org/abs/1707.02921)

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

DASR. Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"

cuml. cuML - RAPIDS Machine Learning Library

EGVSR. Efficient & Generic Video Super-Resolution

iwildcam2021ufam. 1st Place Solution to iWildcam 2021: Count the number of animals of each species present in a sequence of images

OCR_tablenet. TableNet Implementation on Pytorch

utterances. :crystal_ball: A lightweight comments widget built on GitHub issues

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network. Tools to Design or Visualize Architecture of Neural Network

yolor. implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

PubLayNet. Jupyter Notebook

food-101-keras. Food Classification with Deep Learning in Keras / Tensorflow

Food-Recipe-CNN. food image to recipe with deep convolutional neural networks.

Food101-CoreML. A CoreML model which classifies images of food

Stayfit. :iphone: :runner: :apple: Fitness application that’s used to keep track of your physical fitness data, daily calorie count, invite friends to work out together and ultimately get healthy.

mobile-deep-learning-classifier. Tutorial on building and deploying a Mobile Deep Learning Classifier for food

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

FocalLoss_for_multiclass. Focal loss for multiple class classification

pytorch-multi-class-focal-loss. An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

focal-loss. TensorFlow implementation of focal loss

focal_loss_torch. Simple pytorch implementation of focal loss

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-randaugment. Unofficial PyTorch Reimplementation of RandAugment.

nfcbookscanner. Demonstration Android app for reading NfcV (ISO 15693) tags

fairseq. Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flowtron. Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

TextTron-Lightweight-text-detector. TextTron is a simple light-weight image processing based text detector for document images.

sklearn-porter. Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

SGPA-AND-CGPA-CALCULATOR. C++

Wall-puzzle-Game. C++

cautious-waddle. traffic management

predict-company-defaults. Analyzing company's financials, stock price history, news, executive profiles and predict health of the company

CSrankings. A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

Smart-Traffic-Junction. Smart traffic junction : Traffic density estimation at junction or intersection using CCTV

interview. Interview questions

HRNet-Bottom-Up-Pose-Estimation. This is an official pytorch implementation of “Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates” (https://arxiv.org/abs/2006.15480).

Pedestron. [Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

football-tracking. Oblique-View into Top-Down View for Sports Analytics

CovidSOS. SOS system for COVID-19 patient

open-intelligence-backend. Backend of Open Intelligence

MS-G3D. [CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Mutual-Channel-Loss. Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

Pytorch_Retinaface. Retinaface get 80.99% in widerface hard val using mobilenet0.25.

Yet-Another-EfficientDet-Pytorch. The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

cascade-rcnn. Caffe implementation of multiple popular object detection frameworks

CascadeTabNet. This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

insightface. State-of-the-art 2D and 3D Face Analysis Project

EfficientNet-PyTorch. A PyTorch implementation of EfficientNet

vipriors-challenges-toolkit. Collection of tools to support submissions to the 3rd VIPriors workshop challenges

Awesome-CV. :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

Document-Image-Augmentation. Document Image Augmentation is tool for Augmenting axis align document images

pretrained-models.pytorch. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

efficientnet. Implementation of EfficientNet model. Keras and TensorFlow Keras.

traffic_video_analysis. Python

netron. Visualizer for neural network, deep learning and machine learning models

Meshroom. Node-based Visual Programming Toolbox

table-detection-dataset. This repository contains a 403 images dataset for table detection in documents.

PubTabNet. Jupyter Notebook

mmdetection. OpenMMLab Detection Toolbox and Benchmark

detectron2. Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Convert-Pascal-VOC-to-COCO. Python script for Pascal VOC to COCO conversion

Flask_Image_Classification. First Flask Application

TensorFlow-2.x-Tutorials. TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

theGREvisualizer. Visualize synonyms and common confusing words in an interactive network

TextBoxes_plusplus_Tensorflow. Textboxes_plusplus implementation with Tensorflow (python)

face_recognition. The world's simplest facial recognition api for Python and the command line

SVM-Fruit-Image-Classifier. A classifier that applied SVM to classify images

BE-IT-assignments. This repository contains my all practical assignment codes performmed during my Bachelor of Engineering in Information Technology Degree.

AndroidImageSlider. An amazing and convenient Android image slider.

LBCNN. Local Binary Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework

OpenCV-Traffic-Counter. A traffic counter designed using the OpenCV library for Python 3.5. This project was carried out as part of the Government Data Science Accelerator programme

Plant-Nursery. Plant nursery management

Data-Science-and-Machine-Learning-from-Scratch. Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

fast-guided-filter. fast guided filter implementation for OpenCV

100daysofmlcode-farhankarim. Repository to share progress of 100daysofmlcode challenge by Siraj Raval

Iot-RaspberryPi. This is a project implementing IoT using Raspberry Pi. Goal of the project is to control Raspberry Pi from anywhere in the world through cloud.

computer_vision. Some computer vision tutorials for my articles

100_Days_of_ML_Code. These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

data-science-from-scratch. code for Data Science From Scratch book

Angle-Distance. Finding distance of a objects from a reference object or origin and their angle with respect to x-axis