DongjunLee / Notes
The notes for Math, Machine Learning, Deep Learning and Research papers.
Stars: ✭ 53
Programming Languages
python
139335 projects - #7 most used programming language
Labels
Projects that are alternatives of or similar to Notes
Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+18233.96%)
Mutual labels: natural-language-processing, reinforcement-learning, optimization
Leakgan
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Stars: ✭ 533 (+905.66%)
Mutual labels: natural-language-processing, reinforcement-learning
Seqgan
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (+847.17%)
Mutual labels: natural-language-processing, generative-model
Dl Nlp Readings
My Reading Lists of Deep Learning and Natural Language Processing
Stars: ✭ 656 (+1137.74%)
Mutual labels: natural-language-processing, reinforcement-learning
Ml Mipt
Open Machine Learning course at MIPT
Stars: ✭ 480 (+805.66%)
Mutual labels: natural-language-processing, reinforcement-learning
Autokernel
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Stars: ✭ 485 (+815.09%)
Mutual labels: reinforcement-learning, optimization
Fast abs rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Stars: ✭ 569 (+973.58%)
Mutual labels: natural-language-processing, reinforcement-learning
Spot mini mini
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Stars: ✭ 426 (+703.77%)
Mutual labels: reinforcement-learning, optimization
Coursera
Quiz & Assignment of Coursera
Stars: ✭ 774 (+1360.38%)
Mutual labels: natural-language-processing, reinforcement-learning
Ciff
Cornell Instruction Following Framework
Stars: ✭ 23 (-56.6%)
Mutual labels: natural-language-processing, reinforcement-learning
Iosinterviewsanddevnotes
🚴 iOS面试题 (iOS interview) && iOS Dev Notes ,Git ...
Stars: ✭ 930 (+1654.72%)
Mutual labels: notes, summary
Awesome Robotics
A curated list of awesome links and software libraries that are useful for robots.
Stars: ✭ 478 (+801.89%)
Mutual labels: reinforcement-learning, optimization
Android Skill Summary
Android 技能总结,各种基础和进阶内容的资料收集
Stars: ✭ 470 (+786.79%)
Mutual labels: notes, summary
Ml paper notes
📖 Notes and summaries of some Machine Learning / Computer Vision / NLP papers.
Stars: ✭ 496 (+835.85%)
Mutual labels: summary, natural-language-processing
Courses
Quiz & Assignment of Coursera
Stars: ✭ 454 (+756.6%)
Mutual labels: natural-language-processing, reinforcement-learning
Awesome Semi Supervised Learning
📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Stars: ✭ 538 (+915.09%)
Mutual labels: natural-language-processing, generative-model
Conversational Ai
Conversational AI Reading Materials
Stars: ✭ 34 (-35.85%)
Mutual labels: natural-language-processing, reinforcement-learning
Tensorlayer Tricks
How to use TensorLayer
Stars: ✭ 357 (+573.58%)
Mutual labels: natural-language-processing, reinforcement-learning
Mlinterview
A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Stars: ✭ 410 (+673.58%)
Mutual labels: natural-language-processing, reinforcement-learning
Machine learning examples
A collection of machine learning examples and tutorials.
Stars: ✭ 6,466 (+12100%)
Mutual labels: natural-language-processing, reinforcement-learning
notes
The notes for Math, Machine Learning, Deep Learning and Research papers.
Objective
Illustration by David Somerville based on the original by Hugh McLeod
- Let's make wisdom from knowledge.
- Define concepts to be intuitively understandable.
- Simply summary (You can check the details on Wiki)
- With
story
or example - Draw an
illustration
- If possible, append a
code
Documentation by Gitbook- Documentation by Notion
Usage
- Sync papers (* recommend path like Google Drive's sync folder)
python scripts/sync_papers.py {SYNC_PATH}
- Make
SUMMARY.md
python scripts/make_summary.py
Knowledge Source
Math
- Course & Video
Machine Learning
- Course & Video
- Stanford University - Machine Learning by Andrew Ng.
- Stanford University - Probabilistic Graphical Models by Daphne Koller
- OXFORD University - Machine Learning
Deep Learning
-
Book
- Deep Learning by Ian Goodfellow Yoshua Bengio and Aaron Courville, 2016
-
Course & Video
- Stanford University - CS231n: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li, Andrej Karpathy, Justin Johnson
- Udacity - Deep Learning by Vincent Vanhoucke, Arpan Chakraborty
- Toronto University - Neural Networks for Machine Learning by Geoffrey Hinton
- CS224d: Deep Learning for Natural Language Processing by Richard Socher
- Deep Learning School (bayareadlschool) September 24-25, 2016 Stanford, CA
- Oxford Deep NLP 2017 by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].