Stars
An introduction to temporal logic and how it can be used to analyze concurrency
Machine Learning Engineering Open Book
A curated list of Large Language Model (LLM) Interpretability resources.
Sol-1: A CPU/Computer System made from 74 series logic.
Grist is the evolution of spreadsheets.
Learn how to design systems at scale and prepare for system design interviews
Train transformer language models with reinforcement learning.
📋 A list of open LLMs available for commercial use.
Python sample codes for robotics algorithms.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
pradeep90 / pytorch_examples
Forked from pytorch/examplesA set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
A tiny library for coding with large language models.
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Running large language models on a single GPU for throughput-oriented scenarios.
GroqFlow provides an automated tool flow for compiling machine learning and linear algebra workloads into Groq programs and executing those programs on GroqChip™ processors.
Solve puzzles. Improve your pytorch.
A large scale non-linear optimization library
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors