joshholla

llama.cpp

LLM inference in C/C++

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

streamlit

Streamlit — A faster way to build and share data apps.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

alphafold

Open source code for AlphaFold.

system_design

Preparation links and resources for system design questions

nebuly

The user analytics platform for LLMs

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)

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

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.

garage

A toolkit for reproducible reinforcement learning research.

android_env

RL research on Android devices.

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

graham-essays

📚 Download the full collection of Paul Graham essays in EPUB, PDF & Markdown for easy reading.

awesome-elisp

🏵️ A curated list of Emacs Lisp development resources

torchbeast

A PyTorch Platform for Distributed RL

system-design

stable-diffusion

emacs4cl

A tiny DIY kit to set up vanilla Emacs for Common Lisp programming

moolib

A library for distributed ML training with PyTorch

value-prediction-network

NIPS 2017 Value Prediction Network

gym-anm

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

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.

IMPALA-Distributed-Tensorflow

PPOC

Proximal Policy Option-Critic

gala

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning