DanielTakeshi / Interview_PracticeLinks
Practice for coding interviews.
☆36Updated 5 years ago
Alternatives and similar repositories for Interview_Practice
Users that are interested in Interview_Practice are comparing it to the libraries listed below
Sorting:
- These will be public notes for courses that I'm self-studying.☆26Updated 4 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- ☆9Updated 5 years ago
- Curated materials for different machine learning related summer schools☆19Updated 4 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- Personal summaries of deep learning and AI papers☆31Updated 4 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 7 years ago
- ☆24Updated 9 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- Other than papers from big-name labs and universities, most AI research papers get less than 10 readers, even though there might be gems …☆15Updated 6 years ago
- Deep RL Bootcamp solutions☆35Updated 7 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 5 years ago
- A collection of notebooks aiding the understanding of machine-learning papers.☆10Updated 4 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- Some examples trained on very reduced versions of the MNIST training set☆47Updated 7 years ago
- A repo containing links of various tutorials, courses, and papers I've read at some point of time.☆7Updated 7 years ago
- Codebase for Efficient yet simple Reinforcement Learning Research Framework☆28Updated 2 years ago
- Generative Latent Attentive Sampler☆26Updated 8 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- PyTorch version of TensorFlow without a PhD☆10Updated 8 years ago
- Off the convex path☆67Updated 2 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago