richardk53's Stars
AI-Hypercomputer/maxtext
A simple, performant and scalable Jax LLM!
google/flax
Flax is a neural network library for JAX that is designed for flexibility.
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
pytorch/torchtitan
A native PyTorch Library for large model training
mlcommons/inference
Reference implementations of MLPerf™ inference benchmarks
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
EEA-sensors/parallel-non-linear-gaussian-smoothers
Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
HazyResearch/ThunderKittens
Tile primitives for speedy kernels
triton-lang/triton
Development repository for the Triton language and compiler
jopetty/word-problem
Experiments on the impact of depth in transformers and SSMs.
state-spaces/mamba
Mamba SSM architecture
sustcsonglin/flash-linear-attention
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
microsoft/Samba
Official implementation of "Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling"
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
HigherOrderCO/Bend
A massively parallel, high-level programming language
alxndrTL/mamba.py
A simple and efficient Mamba implementation in pure PyTorch and MLX.
johnma2006/mamba-minimal
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
explosion/curated-transformers
🤖 A PyTorch library of curated Transformer models and their composable components
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
google-deepmind/enn
google-deepmind/neural_testbed
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
mbilos/neural-flows-experiments
Experiments for Neural Flows paper
poets-ai/elegy
A High Level API for Deep Learning in JAX
dtcooper/raspotify
A Spotify Connect client that mostly Just Works™
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
awslabs/gluonts
Probabilistic time series modeling in Python
juliuskunze/jaxnet
Concise deep learning for JAX
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
minosworld/minos
MINOS: Multimodal Indoor Simulator