kushagra06 / CS230_DLLinks
♊ Stanford CS230 : Deep Learning
☆16Updated 6 years ago
Alternatives and similar repositories for CS230_DL
Users that are interested in CS230_DL are comparing it to the libraries listed below
Sorting:
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆155Updated 4 years ago
- These will be public notes for courses that I'm self-studying.☆26Updated 5 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆56Updated 7 years ago
- Generic reinforcement learning codebase in TensorFlow☆95Updated 3 years ago
- Resources, papers, tutorials☆125Updated 5 years ago
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆54Updated 3 years ago
- Unsupervised Deep Learning and Representation Learning Tutorial☆13Updated 9 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 5 years ago
- Notes for the Deep Learning Book☆20Updated 6 years ago
- Linear Algebra for Machine Learning Book Exercises☆13Updated 6 years ago
- ☆53Updated 5 years ago
- Deep RL Bootcamp solutions☆35Updated 7 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- Mastering PyTorch for Deep Learning, Published by Packt☆15Updated 4 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- ☆49Updated 5 years ago
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- Deep learning and Reinforcement learning lecture and course work☆100Updated 7 years ago
- summaries of all the papers I read☆142Updated last week
- Material for my course: Optimization in Machine Learning☆32Updated 4 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆58Updated 3 years ago
- Machine learning algorithms☆113Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Computer Vision Tutorial for Deep Learning Researchers☆34Updated 6 years ago