farshadsm Goto Github PK

haystack

:mag: Transformers at scale for question answering & search

hmm-tagger

Hidden Markov Model Part of Speech tagger project

image_classification

Image classification using deep learning techniques (Convolutional Neural Network) on the CIFAR-10 dataset

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

jina

An easier way to build neural search in the cloud

keras-openface

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

lammps

lammps-1

Public development project of the LAMMPS MD software package

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matplotlib-3.0-cookbook

Matplotlib 3.0 Cookbook, published by Packt

md_workflow

Molecular dynamics workflow directory structure

md_workflow_py

Molecular dynamics workflow framework in python.

mdanalysis

MDAnalysis is a Python library to analyze molecular dynamics trajectories.

mdanalysis-workshop

MDAnalysis Tutorial at the 2015 CECAM Macromolecular simulation software workshop

mdanalysiscookbook

Examples and tutorials of using MDAnalysis

mdanalysistutorial

Tutorial for MDAnalysis.

mdreader

A subclass of MDAnalysis.Universe and argparse.ArgumentParser to streamline MD analysis script creation

ml-demand-prediction

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

ml-deployment-strategies

ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

ml-time-series-analysis-on-sales-data

Time Series Decomposition techniques and random forest algorithm on sales data

mlops-amazon-sagemaker-devops-with-ml

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

modern-nlp-in-python

moltemplate

A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies

movielens

4 different recommendation engines for the MovieLens dataset.

mri-segmentation-to-predict-tumor

Magnetic resonance imaging (MRI) is an advanced imaging technique that is used to observe a variety of diseases and parts of the body. In this project, I've built a neural network based on the 3D U-Net architecture to automatically segment tumor regions in the brain, using MRI scans. The model is able to identify regions of the image that contain tumor cells.

nemo

NeMo: a toolkit for conversational AI

nlp-exercises

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM