Aryan8912

Aryan8912's Stars

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook6.9k668

• salesforce/ALBEF

  Code for ALBEF: a new vision-language pre-training method

  Language:Python1.5k194

• carbonscott/pytorch-fsdp-examples

  Various transformers for FSDP research

  1

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.4k613

• deepgenerativemodels/notes

  Course notes

  Language:CSS591127

• poteto/hiring-without-whiteboards

  ⭐️ Companies that don't have a broken hiring process

  Language:JavaScript44.7k3.5k

• albertpumarola/deep-learning-notes

  My CS231n lecture notes

  Language:TeX18567

• vtabbott/Algebraic-NCD

  A package for defining deep learning models using categorical algebraic expressions.

  Language:Python531

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.2k1.2k

• HeyPuter/puter

  🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

  Language:JavaScript25k1.6k

• roboflow/sports

  computer vision and sports

  Language:Python2.3k238

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12k5.7k

• ajcr/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  Language:Jupyter Notebook2.5k2.9k

• decodingml/llm-twin-course

  🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

  Language:Python2.5k405

• real-stanford/maniwav

  Official codebase of paper "ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data"

  Language:Python402

• FullStackRetrieval-com/RetrievalTutorials

  Language:Jupyter Notebook732117

• MarkFzp/humanplus

  [CoRL 2024] HumanPlus: Humanoid Shadowing and Imitation from Humans

  Language:Python52887

• rasbt/LLMs-from-scratch

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

  Language:Jupyter Notebook27.9k3.2k

• desireevl/awesome-quantum-computing

  A curated list of awesome quantum computing learning and developing resources.

  2.5k398

• anishshah97/spotify-recommender-training

  Recommendation systems used for Spotify tasks

  Language:Jupyter Notebook74

• google/generative-ai-docs

  Documentation for Google's Gen AI site - including the Gemini API and Gemma

  Language:Jupyter Notebook1.6k567

• joelowj/awesome-algorithmic-trading

  A curated list of awesome algorithmic trading frameworks, libraries, software and resources

  821160

• joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance

  Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

  Language:Jupyter Notebook246119

• mohsentabibian/LeetCode-Solutions

  Explore 75 essential problems frequently asked in tech interviews. Each solution includes detailed explanations and time/space complexity analysis. Boost your coding skills and interview preparedness!

  Language:HTML1

• SwarajShelavale/LeetCode-Blind-75

  Welcome to the LeetCode Blind 75 Questions Solutions Repository, a comprehensive collection of Java solutions meticulously crafted to tackle the most challenging algorithmic problems found on LeetCode.

  93

• ashishpatel26/Awesome-Pytorch-Tutorials

  Awesome Pytorch Tutorials

  Language:Jupyter Notebook3019

• gpu-mode/lectures

  Material for gpu-mode lectures

  Language:Jupyter Notebook2.6k256

• JordiCorbilla/stock-prediction-deep-neural-learning

  Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

  Language:Jupyter Notebook493109

• Leci37/TensorFlow-stocks-prediction-Machine-learning-RealTime

  Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:

  Language:Python24377

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.5k796