Mohammad Bavarian's starred repositories
improved_contrastive_divergence
[ICML'21] Improved Contrastive Divergence Training of Energy Based Models
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
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.
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome-design-patterns
A curated list of software and architecture related design patterns.
SystemProgramming
Angrave's Crowd-Sourced System Programming Book used at UIUC
sorting_algorithm_visualization_and_aurlization_in_a_swift_playground
I put it all in the title :p WWDC 2019 scholarship application.
DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
go-patterns
Curated list of Go design patterns, recipes and idioms
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
modern-cpp-features
A cheatsheet of modern C++ language and library features.
nips-ad-placement-challenge
The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
multiagent-competition
Code for the paper "Emergent Complexity via Multi-agent Competition"
parallel-trpo
A parallel version of Trust Region Policy Optimization
bmm-tensorflow-tutorial
TensorFlow ipython notebooks for deep learning tutorial in 2017 BMM summer course.
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
async_deep_reinforce
Asynchronous Methods for Deep Reinforcement Learning