leoking-crey's Stars
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
LeCoupa/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
manan904/Twitter-Sentiment-Analysis
Python Script for sentimental analysis of tweets.
aimacode/aima-gsoc
aimacode participation in the Google Summer of Code
joeyenouy007/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
jlevy/the-art-of-command-line
Master the command line, in one page
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
tapaswenipathak/Open-Source-Programs
A list of open source programs.
pytorch/glow
Compiler for Neural Network hardware accelerators
tayllan/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
tensorly/tensorly
TensorLy: Tensor Learning in Python.
Chalarangelo/30-seconds-of-interviews
A curated collection of common interview questions to help you prepare for your next interview.
marshmallow-code/marshmallow
A lightweight library for converting complex objects to and from simple Python datatypes.
abhigupta768/CSE-231N-AI_assignments
This repository contains the solutions to the programming assignments of CSE 231N - Artificial Intelligence - IIT (BHU) Varanasi
jcjohnson/torch-rnn
Efficient, reusable RNNs and LSTMs for torch
OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
thibo73800/metacar
A reinforcement learning environment for self-driving cars in the browser.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.
Kitt-AI/snowboy
Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
salesforce/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
jeongyoonlee/Kaggler
Code for Kaggle Data Science Competitions