DevashishPrasad's Stars
dgraph-io/dgraph
The high-performance database for modern applications
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
google-deepmind/alphafold
Open source code for AlphaFold.
optuna/optuna
A hyperparameter optimization framework
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
sksq96/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
DulLabs/bhai-lang
A toy programming language written in Typescript
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
monologg/JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
molstar/molstar
A comprehensive macromolecular library
cedrickchee/awesome-ml-model-compression
Awesome machine learning model compression research papers, quantization, tools, and learning material.
pratikratadiya/awesome-ml-internships
List of companies offering Machine learning and Data Science internships
Graylab/IgFold
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
luost26/diffab
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
Kikou1998/textbook
nrbennet/dl_binder_design
KarenUllrich/Tutorial_BayesianCompressionForDL
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
moodoki/semantic_image_inpainting
Semantic Image Inpainting
lucidrains/invariant-point-attention
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
3dem/model-angelo
Automatic atomic model building program for cryo-EM maps
shervinmin/DeepCovid
dakpinaroglu/Frame2seq
Structure-conditioned masked language modeling for protein sequence design
CUN-bjy/lstm-vae-torch
A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)
saxena-mayur/Weight-Uncertainty-in-Neural-Networks
jeffreyruffolo/AntiBERTy
Antibody-specific masked language model
ProteinDesignLab/IgVAE
A variational autoencoder that directly generates the 3D coordinates of immunoglobulin protein backbones.
danielkelshaw/WeightUncertainty
PyTorch implementation of 'Weight Uncertainty in Neural Networks'
DevashishPrasad/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.