5921 Open source projects that are alternatives of or similar to Tencent_social_ads2017_mobile_app_pcvr

Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis

Repo replaced by cogsec-collaborative/AMITT

A high performance implementation of HDBSCAN clustering.

Statistical Rethinking (2nd Ed) with Tensorflow Probability

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

开源的各大比赛baseline

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

Python tutorials and puzzles to share with the world!

visualization of CNN in PyTorch

nbconvert as a web service: Render Jupyter Notebooks as static web pages

📈 如何用深度强化学习自动炒股

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

ASAP: Prioritizing Attention via Time Series Smoothing

code for py-R-FCN-multiGPU maintained by bupt-priv

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

Implementations of some popular Saliency Maps in Keras

Here lies all the exercises I implement and share in my website

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Jupyter meets Vim. Vimmer will fall in love.

代码记录

pyiron - an integrated development environment (IDE) for computational materials science.

Reading notes on the excellent "Designing Data-Intensive Applications"

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

To make it easy to benchmark AI accelerators

cell detection in calcium imaging recordings

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

A library to model multivariate data using copulas.

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

A New, Interactive Approach to Learning Python

📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料

Notebooks for upcoming fastai book (draft / incomplete)

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Various math-related things in Python code

python100天学习资料

Stereo convolutional neural network for depth map prediction from stereo images

Examples of using Raster Vision on open datasets

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

🛠 All-in-one web-based IDE specialized for machine learning and data science.

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Performance analysis of predictive (alpha) stock factors

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

Mastering Python for Finance – Second Edition, published by Packt

A Portfolio of my Data Science Projects

PennAI: AI-Driven Data Science

周志华-机器学习

Run your code in the cloud, with technology so advanced, it feels like magic!

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Multiscale Geographically Weighted Regression (MGWR)

Programs for stock prediction and evaluation

Jupyter notebook server extension to proxy web services.

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".