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ntu-hsuantienlin-ml

:book: **大学林轩田机器学习笔记

nyumath2048

NYU Math-GA 2048: Scientific Computing in Finance

odsc

tutorial for converting PyTorch to Lightning

omnigan

open-computational-neuroscience-resources

A publicly-editable collection of open computational neuroscience resources

pack

背包问题九讲

paper-reading

深度学习经典、新论文逐段精读

paper-reading-note

和李沐一起读论文

parallel-tutorial

Parallel computing in Python tutorial materials

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

pastis-benchmark

prince-set-up

NYU Prince set up

python_interview_question

关于python的面试题

pythonprogramming

Python Programming

pytorch-summary

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

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-on-google-colab

PyTorch Tutorial on google colaboratory.

quantcheatsheets

This repo contains cheat sheets for AI, neural network, machine learning, and big data

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

scikit-learn

scikit-learn: machine learning in Python

scriptsdump

The biggest dump of scripts ever!

self-driving-car

The Udacity open source self-driving car project

self-driving-car-1

Udacity Self-Driving Car Engineer Nanodegree projects.

snake

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

the-gan-zoo

A list of all named GANs!

theory-statistical-modelling

This repository contains all the notes i've written in learning to become a Data Scientist, the notebooks contain specifically the theoretical implementations of Machine Learning algorithms, Deep Learning algorithms, Linear & Non-Linear Method for statistical modelling.