Joshua Holla's starred repositories
annotated_deep_learning_paper_implementations
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
system_design
Preparation links and resources for system design questions
materialize
The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.
example-code
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
timely-dataflow
A modular implementation of timely dataflow in Rust
awesome-llm-json
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
android_env
RL research on Android devices.
scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
graham-essays
๐ Download the full collection of Paul Graham essays in EPUB, PDF & Markdown for easy reading.
awesome-elisp
๐ต๏ธ A curated list of Emacs Lisp development resources
torchbeast
A PyTorch Platform for Distributed RL
value-prediction-network
NIPS 2017 Value Prediction Network
level-replay
This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.