Overlord-R's Stars
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
despoisj/DeepEyeControl
Using your eyes to trigger shortcuts on your computer
mission-peace/interview
Interview questions
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
llSourcell/Learn_Computer_Science_in_5_Months
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
llSourcell/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
m2dsupsdlclass/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
weixsong/min-char-rnn
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
GoogleCloudPlatform/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
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.
balancap/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
kgram007/Eulerian-Motion-Magnification
C++ implementation of the Paper "Eulerian Video Magnification for Revealing Subtle Changes in the World"
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
CarlBeek/coaster_racer_coding_challenge
Q-Learning Attempt at Sirajology's CoasterRacer Coding Challenge
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
mathematical-tours/mathematical-tours.github.io
Site web of the Mathematical Tours
junyanz/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"