sean-dss

sean-dss's Stars

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.8k2.6k01.7k

• danielmiessler/fabric

  fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

  Language:Go26.4k3315602.8k

• janhq/jan

  Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

  Language:TypeScript25.3k1362.1k1.5k

• HigherOrderCO/Bend

  A massively parallel, high-level programming language

  Language:Rust17.8k101263439

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1124171.4k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.7k1015831.2k

• Nuitka/Nuitka

  Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

  Language:Python12.3k1382.5k657

• numba/numba

  NumPy aware dynamic Python compiler using LLVM

  Language:Python10.1k1985.3k1.1k

• microsoft/msquic

  Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.

  Language:C4.1k125750542

• facebookincubator/cinder

  Cinder is Meta's internal performance-oriented production version of CPython.

  Language:Python3.5k6081121

• dnhkng/GlaDOS

  This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.

  Language:Python3.2k4152296

• rapidfuzz/RapidFuzz

  Rapid fuzzy string matching in Python using various string metrics

  Language:C++2.8k26255120

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.4k3338147

• aiortc/aioquic

  QUIC and HTTP/3 implementation in Python

  Language:Python1.7k41228243

• lcompilers/lpython

  Python compiler

  Language:C++1.5k341k165

• keroro824/HashingDeepLearning

  Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

  Language:C++1.1k5333169

• sipeed/TinyMaix

  TinyMaix is a tiny inference library for microcontrollers (TinyML).

  Language:C9283817146

• declare-lab/MELD

  MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

  Language:Python8442948207

• hidet-org/hidet

  An open-source efficient deep learning framework/compiler, written in python.

  Language:Python666198453

• Green-Software-Foundation/carbon-aware-sdk

  Carbon-Aware SDK

  Language:HTML4912531897

• bytedance/matxscript

  A high-performance, extensible Python AOT compiler.

  Language:C++415155039

• mmckerns/tuthpc

  Tutorial on "Efficient Python for High-Performance Computing"

  Language:Jupyter Notebook1217452

• ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION

  Human Emotion Understanding using multimodal dataset.

  Language:Jupyter Notebook897920

• henryiii/python-performance-minicourse

  Mini-course at Princeton on High Performance Python

  Language:Jupyter Notebook725012

• LumenPallidium/backprop-alts

  This repository has implementations of various alternatives to backpropagation for training neural networks.

  Language:Python19415

• anudeep-20/Table-extraction-from-PDF-and-Images

  Extraction of Tabular data from PDF & Images into CSV or XML

  Language:Python18126

• mukul2310/cpu-scheduler-visualiser

  Visualizer for 9 Scheduling Algorithms, like FCFS, SJF, RR, LJF, Priority and implemented a new algorithm based on a research paper.

  Language:JavaScript15206

• BrendanCReidy/TernaryWeightNetworks

  Language:Python3250

• divyanshu-talwar/Training-NNs-without-Backpropagation

  Implementing an ADMM based optimization approach as an alternative to backpropagation for training neural networks.

  Language:Python3101

• manwu1994/Ternary-spiking-neural-network

  Ternary spiking neural network

  Language:Python1100