6378 Open source projects that are alternatives of or similar to Darter

List of resources for learning bioinformatics, from beginner to advanced

deobfuscation ollvm's fla

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

Notes from the PyTorch Udacity / Facebook scholarship course

Demonstrations of Magenta Models

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

Tools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms.

Motion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.

Rust code to show how hooking in rust with a dll works.

Progressive Domain Adaptation for Object Detection

Python scripts that help me be a successfull meteorologist. (Python 2) For Python 3, use: https://github.com/blaylockbk/pyBKB_v3

Electra pre-trained model using Vietnamese corpus

Natural Language Processing Tutorial for MindSpore Users

Information about my experiences on ethical hacking 💀

百度西交第三届大数据比赛Baseline(全国第4名)

A python code to detect emotions from text

Materials for Modern AI Course / Cloud Day 2.0

A Portfolio of Python Projects

Telegram notification with IPython magics.

Automatic 2D-to-3D Video Conversion with CNNs

DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.

Single-Cell Clustering Assessment Framework

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

All the learning material for deep learning bootcamp can be found in this repository

python笔记

A collection of C++11 headers useful for reverse engineering

Deep Attractor Network (DANet) for single-channel speech separation

Text Generation using Bidirectional LSTM and Doc2Vec models

PyTorch implementation of BTS Depth Estimator

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Minimal implementation of a radial basis function network.

ChallengeHub开源的各大比赛baseline集合

WaveGlow vocoder with VQVAE

Mastering-Python-Data-Analysis

This repository has implementation and tutorial for Deep Belief Network

INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois

Fully Featured Nintendo DS Loader for Ghidra

Advanced Data Science, University of Illinois Spring 2017

🏭 Education resources for Chemical and Process Engineering written in Python

live code

Julia Jupyter/Colab Notebooks

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

True difference or noise? 📊

A Los Angeles Times analysis of arrests of the homeless by the LAPD

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

A workshop on data privacy methods for data scientists.

Python crawling tutorial

darknetpy is a simple binding for darknet's yolo detector

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Model-Logger is a Python library for storing model's profile and rapid inter model comparison.

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.