DanielTakeshi / Self_Study_Courses
These will be public notes for courses that I'm self-studying.
☆26Updated 4 years ago
Alternatives and similar repositories for Self_Study_Courses:
Users that are interested in Self_Study_Courses are comparing it to the libraries listed below
- Practice for coding interviews.☆36Updated 5 years ago
- Deep RL Bootcamp solutions☆35Updated 7 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- A collection of notebooks aiding the understanding of machine-learning papers.☆10Updated 3 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- ☆9Updated 4 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- Unsupervised Deep Learning and Representation Learning Tutorial☆12Updated 9 years ago
- Logging utility for ML experiments☆16Updated 2 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 6 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- ☆14Updated 4 months ago
- A open source book covering the foundational maths of deep learning and machine learning using TensorFlow☆33Updated 6 years ago
- Stats 479 Project☆22Updated 5 years ago
- ☆24Updated 9 years ago
- ☆26Updated 7 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- This is the code for "Robotic Manipulation" By Siraj Raval on Youtube☆46Updated 6 years ago
- ☆45Updated 5 years ago
- Linear Algebra for Machine Learning Book Exercises☆13Updated 5 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 4 years ago
- This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube☆92Updated 6 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- Curated materials for different machine learning related summer schools☆19Updated 4 years ago
- Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018☆14Updated 3 years ago