EngineerKhan

EngineerKhan's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k5.9k1.5k46.1k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook38k4061154.9k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.8k293432.3k

• mendableai/firecrawl

  🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

  Language:TypeScript21.6k1174261.7k

• cocktailpeanut/dalai

  The simplest way to run LLaMA on your local machine

  Language:CSS13.1k1483811.4k

• dotnet/machinelearning

  ML.NET is an open source and cross-platform machine learning framework for .NET.

  Language:C#9.1k5793.9k1.9k

• jsvine/pdfplumber

  Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

  Language:Python7.1k93566691

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.9k951951.4k

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

  6.2k9811343

• apify/crawlee-python

  Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

  Language:Python5.1k35302333

• OpenRLHF/OpenRLHF

  An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

  Language:Python3.8k30391360

• qpdf/qpdf

  qpdf: A content-preserving PDF document transformer

  Language:C++3.6k71734287

• SciSharp/TensorFlow.NET

  .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

  Language:C#3.3k129843528

• Doriandarko/o1-engineer

  o1-engineer is a command-line tool designed to assist developers in managing and interacting with their projects efficiently. Leveraging the power of OpenAI's API, this tool provides functionalities such as code generation, file editing, and project planning to streamline your development workflow.

  Language:Python2.9k3713295

• pikepdf/pikepdf

  A Python library for reading and writing PDF, powered by QPDF

  Language:Python2.2k37439194

• eloialonso/diamond

  DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

  Language:Python1.7k2036118

• konrad-gajdus/miniMNIST-c

  Language:C1.2k263120

• NVlabs/DoRA

  [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

  Language:Python680112045

• noahgolmant/pytorch-hessian-eigenthings

  Efficient PyTorch Hessian eigendecomposition tools!

  Language:Python369142844

• OceanParcels/Parcels

  Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

  Language:Python30423649141

• noahgolmant/pytorch-lars

  "Layer-wise Adaptive Rate Scaling" in PyTorch

  Language:Python867321

• apple/ml-ademamix

  Language:Python52802

• noahgolmant/SGLD

  Stochastic Gradient Langevin Dynamics for Bayesian learning

  Language:Jupyter Notebook30704

• gkdziugaite/pacbayes-opt

  Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights

  Language:Python27737

• albietz/transformer-birth

  Language:Python16103

• lkopf/cosy

  CoSy: Evaluating Textual Explanations

  Language:Jupyter Notebook13301

• EngineerKhan/Python-ML

  Language:Jupyter Notebook8101

• sail-sg/win

  Language:Python7301

• archana95in/Escaping-saddles-using-Stochastic-Gradient-Descent

  Reproduction of "Escaping saddles using Stochastic Gradient Descent" by Hadi Daneshmand, Jonas Kohler, Aurelien Lucchi, Thomas Hofmann

  Language:Jupyter Notebook110

• fhueb/parameter-agnostic-lzlo

  Contains the code for the paper "Parameter-Agnostic Optimization under Relaxed Smoothness"

  Language:Python110