joshholla's Stars
ggerganov/llama.cpp
LLM inference in C/C++
labmlai/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
Streamlit — A faster way to build and share data apps.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
google-deepmind/alphafold
Open source code for AlphaFold.
shashank88/system_design
Preparation links and resources for system design questions
nebuly-ai/optimate
A collection of libraries to optimise AI model performances
MaterializeInc/materialize
The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.
fluentpython/example-code
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
TimelyDataflow/timely-dataflow
A modular implementation of timely dataflow in Rust
imaurer/awesome-llm-json
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
google-deepmind/android_env
RL research on Android devices.
google-deepmind/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
pranz24/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
google-research/seed_rl
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
ofou/graham-essays
📚 Download the full collection of Paul Graham essays in EPUB, PDF & Markdown for easy reading.
p3r7/awesome-elisp
🏵️ A curated list of Emacs Lisp development resources
facebookresearch/torchbeast
A PyTorch Platform for Distributed RL
jguamie/system-design
neonsecret/stable-diffusion
susam/emacs4cl
A tiny DIY kit to set up vanilla Emacs for Common Lisp programming
facebookresearch/moolib
A library for distributed ML training with PyTorch
junhyukoh/value-prediction-network
NIPS 2017 Value Prediction Network
robinhenry/gym-anm
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
warner-benjamin/commented-transformers
Highly commented implementations of Transformers in PyTorch
facebookresearch/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.
RLOpensource/IMPALA-Distributed-Tensorflow
mklissa/PPOC
Proximal Policy Option-Critic
facebookresearch/gala
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning